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  • BSZ  (460)
  • KOBV
  • MEK Berlin
  • Cham : Imprint: Springer  (460)
  • Cambridge [u.a.] : Cambridge Univ. Press
  • Frankfurt am Main [u.a.] : Lang
  • Oxford : Oxford University Press
  • Artificial intelligence.  (460)
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  • 1
    Online-Ressource
    Online-Ressource
    Digital Technologies and Distributed Registries for Sustainable Development : Legal Challenges (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031510670
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 185 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Law, Governance and Technology Series 64
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    Schlagwort(e): Information technology ; Mass media ; Artificial intelligence. ; Sustainability.
    Kurzfassung: Part I Artificial Intelligence and Sustainable Development -- An Assessment of the Role of Artificial Intelligence on Sustainable Development Goals -- Sustainable Growth and the Role of Artificial Intelligence in Improving the Circular Economy -- Part II Blockchain for Sustainable Development: the Potential of Tokenization -- Token, Tokenization and Sustainable Development -- Tokenization of the creative industries: the intersection between emerging technologies and sustainability -- Part III The Green Digital Transformation: Legal Issues -- The Importance of a Global Legal Framework and Digital Technologies in Combating Climate Change -- Green Finance in the EU and Russia: Legal Frameworks and Opportunities of Digitalisation -- Part IV Human Rights and Information Communication Technologies -- Fast Internet as a Prerequisite for Sustainable and Resilient Development: Network expansion measures and extension of user rights -- The Right to Education in a Digital Era -- Part V Challenges in achieving SDG 16 -- Corporations and the global backlash over privacy: too big to regulate? -- E-justice in Russia.
    Kurzfassung: Digital technologies are playing a growing role in achieving the UN’s Sustainable Development Goals (SDGs). They are both a tool both for achieving developmental outcomes and a driver of change. However, the use of digital technologies also entails certain legal challenges. The purpose of this book is to highlight these challenges and suggest solutions. Written by leading researchers from six countries, who analyse legislative solutions from around the world, it includes chapters on the benefits of asset tokenisation, the role of artificial intelligence in achieving sustainable development, legal issues in the green digital transformation, and human rights in a digital world. Through a mixture of fundamental analysis and real-world examples, readers will learn how emerging digital technologies can help achieve various SDGs and what legal challenges arise from their application. This important resource will be of interest to academics, government and legal officials whose work involves the legal regulation of the introduction and use of new digital technologies, as well as sustainable development challenges. Legal experts engaged in the design of new legal infrastructures during the current phase of digital, climatic and social transformation in private, public and social organizations will also find it useful.
    DOI: 10.1007/978-3-031-51067-0
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    BSZ
    MPI Ethno. Forsch.
  • 2
    Online-Ressource
    Online-Ressource
    Algorithmic Democracy : A Critical Perspective Based on Deliberative Democracy (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031530159
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 257 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Philosophy and Politics - Critical Explorations 29
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    Schlagwort(e): Political science ; Ethics. ; Political science. ; Artificial intelligence.
    Kurzfassung: Introduction -- Part I: Framing algorithmic democracy -- Chapter 1. The democratic drift -- Part II: Ethical and political challenges of Algorithmic Democracy -- Chapter 2. The Second Age of Artificial Intelligence -- Chapter 3. The virtual politician: on algorithm-based political decision-making -- Chapter 4. Digital twins: on algorithm-based political participation -- Chapter 5. Platformization: the dangers of the artificial public sphere -- Chapter 6. Moral learning by algorithms: the possibility of developing morally intelligent technology -- Chapter 7. The metaverse: building a digital hyper-economy -- Part III: Against algorithmic democracy: scope and ethical-discursive perspectives for an expansion of deliberative democracy -- Chapter 8. Artificial ethics: on the automation of morality -- Chapter 9. Critique of algorithmic reason -- Chapter 10: Dialogic digital ethics: from explicability to participation -- Chapter 11: Civil society: an ethical framework for algorithmic democracy -- Chapter 12. Institutional design for an embedded algorithmic democracy -- Index.
    Kurzfassung: Based on a deliberative democracy, this book uses a hermeneutic-critical methodology to study bibliographical sources and practical issues in order to analyse the possibilities, limits and consequences of the digital transformation of democracy. Drawing on a two-way democracy, the aim of this book is intended as an aid for thinking through viable alternatives to the current state of democracy with regard to its ethical foundations and the moral knowledge implicit in or assumed by the way we perceive and understand democracy. It is intended to stimulate reflection and discussion on the basis that, by addressing what we understand as democracy, we can inevitably influence the reality known as democracy. Democracy’s evident regression in today’s world makes this all too apparent: it has become a hostage to all kinds of autocracies and technopopulisms, which are supported to a greater or lesser extent by the current algorithmic revolution.
    DOI: 10.1007/978-3-031-53015-9
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    BSZ
    MPI Ethno. Forsch.
  • 3
    Online-Ressource
    Online-Ressource
    Improving technology through ethics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031529627
    Sprache: Englisch
    Seiten: 1 Online-Ressource(V, 108 p. 13 illus., 8 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: PoliMI SpringerBriefs
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    Schlagwort(e): Technology ; User interfaces (Computer systems). ; Human-computer interaction. ; Technology ; Artificial intelligence.
    Kurzfassung: Introduction: What Improving Technology through Ethics Means -- An Ethnographer Among the Engineers: Doing STS at a Technical University -- Future Medicine: Towards a More Conscious and Ethical Communication -- Data Quality, Data Diversity and Data Provenance: An Ethical Perspective -- Ethics-aware Application of Digital Technologies in the Construction Industry -- Drawing Together: Technology Development for Public Service -- Addressing Big Data Poverty in Sub-Saharan Africa for Responsible AI Development -- Social and Technological Innovation: Cross-Fertilization Needed.
    Kurzfassung: This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what practitioners do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature.
    DOI: 10.1007/978-3-031-52962-7
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    MPI Ethno. Forsch.
  • 4
    Online-Ressource
    Online-Ressource
    Ethics of Medical AI (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031557446
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VII, 257 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: The International Library of Ethics, Law and Technology 24
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    Schlagwort(e): Technology ; Medical Ethics. ; Artificial intelligence.
    Kurzfassung: Part 1: Foundations -- Chapter 1: Introduction -- Chapter 2: Artificial Intelligence: In search of a definition -- Chapter 3: MAI: A very short history and the state of the art -- Chapter 4: Ethical foundations: Medical Ethics and Data Ethics -- Part 2: Ethical Analysis -- Chapter 5: Practices -- Chapter 6: Relationships -- Chapter 7: Environments -- Chapter 8: Instead of a conclusion: Seven lessons for the present.
    Kurzfassung: This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses.
    DOI: 10.1007/978-3-031-55744-6
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    MPI Ethno. Forsch.
  • 5
    Online-Ressource
    Online-Ressource
    Legal Aspects of Autonomous Systems : A Comparative Approach (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031479465
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 382 p. 8 illus., 1 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Data Science, Machine Intelligence, and Law 4
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    Schlagwort(e): Information technology ; Mass media ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence.
    Kurzfassung: As computational power, the volume of available data, IT systems’ autonomy, and the human-like capabilities of machines increase, robots and AI systems have substantial and growing implications for the law and raise a host of challenges to current legal doctrines. The main question to be answered is whether the foundations and general principles of private law and criminal law offer a functional and adaptive legal framework for the “autonomous systems” phenomena. The main purpose of this book is to identify and explore possible trajectories for the development of civil and criminal liability; for our understanding of the attribution link to autonomous systems; and, in particular, for the punishment of unlawful conduct in connection with their operation. AI decision-making processes – including judicial sentencing – also warrant close attention in this regard. Since AI is moving faster than the process of regulatory recalibration, this book provides valuable insights on its redesign and on the harmonization, at the European level, of the current regulatory frameworks, in order to keep pace with technological changes. Providing a broader and more comprehensive picture of the legal challenges posed by autonomous systems, this book covers a wide range of topics, including the regulation of autonomous vehicles, data protection and governance, personality rights, intellectual property, corporate governance, and contract conclusion and termination issues arising from automated decisions, blockchain technology and AI applications, particularly in the banking and finance sectors. The authors are legal experts from around the world with extensive academic and/or practical experience in these areas.
    DOI: 10.1007/978-3-031-47946-5
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    MPI Ethno. Forsch.
  • 6
    Online-Ressource
    Online-Ressource
    Autonomous Vehicles and Civil Liability in a Global Perspective : Liability Law Study across the World in relation to SAE J3016 Standard for Driving Automation (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031419928
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 548 p. 24 illus., 22 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Data Science, Machine Intelligence, and Law 3
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    Schlagwort(e): Information technology ; Mass media ; Artificial intelligence. ; Robotics.
    Kurzfassung: Hans Steege, Ilaria Amelia Caggiano, Maria Cristina Gaeta and Benjamin von Bodungen, Introduction -- Christian Pek and Sanne van Waveren, Autonomous Vehicles – A Technical Introduction -- Part I – Africa: Jessica Anne Steele and Rakhee Dullabh, South Africa: Motor vehicle collisions liability regime applied to automated vehicles -- Part II – America: Mark A. Geistfeld, Civil Liability for Motor Vehicle Crashes in the United States: From Conventional Vehicles to Autonomous Vehicles -- Juan F. Córdoba-Marentes and Obdulio Velásquez-Posada, Self-driving cars regulation in Colombia -- Part III – Asia: Mingyan Nie and Yuan Shen, Autonomous Driving in China -- Antonios Karaiskos, Autonomous Driving and Civil Liability in Japan -- Thomas Hufnagel and Jaryl Lim Zhi Wei, En-route to a driverless city-state: Examining the current legal landscape for autonomous vehicles in Singapore -- Jeung-Jun Park and Jun-Kyu Ahn, Civil Liability Regime on Autonomous-Driving Vehicle Accident in Korea -- Part IV – Australia: Angelika Yates and Samuel Siskovic, Steering the transition to automated vehicles in Australia - Current status and regulatory changes ahead -- Part V – Europe: Orian Dheu, Jan De Bruyne, Peggy Valcke, Ilse Samoy, Autonomous Vehicles and Civil Liability in Belgium -- Benjamin von Bodungen and Hans Steege, Liability for automated and autonomous driving in Germany -- Lionel Andreu, The law applicable to autonomous cars driving in France -- Angela Fernández Arévalo and Juan Paplo Murga Ferández, Civil liability for damage caused by autonomous vehicles under Spanish law -- Maria Cristina Gaeta, Italian civil liability applicable to self-driving cars -- Eric Tjong Tjin Tai, Civil liability for self-driving cars in Dutch law -- Jörg Zehetner, Merve Cetin and Angelika Holzer, The Civil Liability for Self-driving Cars in Austria -- Vasile Luha, Dr. Bogdan Florea and Silvia Maican, Liability in the case of autonomous cars in Romania -- Anton Olsson and Karl Montelius, Autonomous vehicle andliability in Sweden -- Part VI – The United Kingdom: Felix Boon, Automated vehicle liability in Great Britain.
    Kurzfassung: In the automotive sector, digitalisation, connectivity and automation are rapidly expanding. In tomorrow’s vehicles, human beings will merely be passengers – which raises a host of complex legal issues regarding accidents involving self-driving vehicles. This book is the first to offer a comprehensive, global overview of civil liability regimes for all levels of vehicle automation in jurisdictions that represent some of the most important markets for the automotive industry. After a technical introduction to how self-driving cars work, the individual chapters analyse the liability for driving automation at SAE J3016 levels 0 through 5 from a country-specific perspective. All chapters were written by experts in the field and follow a uniform legal structure. Hence, the book offers an essential comparative analysis of similarities and differences in the jurisdictions examined, while also providing suggestions for future legislative changes at the national and international level. The book is not only relevant for legal scholars and practitioners but will also be of particular interest to anyone involved in the design, manufacture, distribution and operation of self-driving vehicles.
    DOI: 10.1007/978-3-031-41992-8
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  • 7
    Online-Ressource
    Online-Ressource
    YSEC Yearbook of Socio-Economic Constitutions 2023 : Law and the Governance of Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558320
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 359 p.)
    Ausgabe: 1st ed. 2024.
    Serie: YSEC Yearbook of Socio-Economic Constitutions 2023
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    Schlagwort(e): Information technology ; Mass media ; Artificial intelligence.
    Kurzfassung: Introduction by Eduardo Gil Pedro and Andreas Moberg -- Part I: AI Regulation in the EU – The Future Interplay between Frameworks by Béatrice Schutte -- The AI Act’s Research Exemption: A Mechanism for Regulatory Arbitrage? by Liane Colonna -- Part II: Governance of AI or Governance by AI: Limits, New Threats, and Unnegotiable Principles by Migle Laukyte -- A Horizontal Meta-effect? Theorizing Human Rights in the AI Act and the Corporate Sustainability Due Diligence Directive by Mika Viljanen -- Everybody Wants to Rule the World. The Relevance of the Rule of Law for Private Law, in the Context of Algorithmic Profiling of Online Users by Silvia Carretta -- AI and Automation by Claes Granmar -- Part III: Algorithmic Hiring Systems: Implications and Recommendations for Organisations and Policymakers by Jason D. Schloetzer and Kyoko Yoshinaga -- AI Gender Biases in Women’s Healthcare: Perspectives from the United Kingdom and the European Legal Space by Pin Lean Lau -- The Role of AI in Mental Health Applications and Liability by Petra Müllerová -- Trustworthy Artificial Intelligence and Public Procurement by Isabel Gallego Córcoles -- AI and Sensitive Personal Data under the Law Enforcement Directive – Between Operational Efficiency and Legal Necessity by Markus Naarttijärvi.
    Kurzfassung: Artificial intelligence (AI) has the potential to radically transform our society. It may lead to a massive increase in the capabilities of humankind and allow us to address some of our most intractable challenges. It may also entail profound disruption to structures and processes that have sustained our society over centuries. These developments present a unique challenge to the socio-economic constitutional arrangements which govern our world at national, regional and international level. The deployment of increasingly powerful AI systems, able to function with increasing degree of autonomy, has led to concerns over loss of human control of important societal processes, over the disruption of existing economic, social and legal relationships, and over the empowerment of some societal actors at the expense of others, together with the entrenchment of situations of domination or discrimination. It has also made increasingly clear how tremendous the potential benefits, that these technologies may bring, are to those who successfully develop and deploy them. There is therefore great pressure on governments, international institutions, public authorities, civil society organisations, industry bodies and individual firms to introduce or adapt mechanisms and structures that will avoid the potentially negative outcomes of AI and achieve the positive ones. These mechanisms and structures, which have been given the umbrella term ‘AI governance’, cover a wide range of approaches, from individual firms introducing ethical principles which they volunteer to abide by, to the European Union legislating an AI Act, which will prohibit certain types of AI applications and impose binding obligations on AI developers and deployers. The fast pace of innovation in the development of AI technologies is mirrored by the fast pace of development of the emerging field of AI governance, where traditional legislation by public bodies is complemented with more innovative approaches, such ashybrid and adaptive governance, ethical alignment, governance by design and the creation of regulatory sandboxes. The chapter “AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. .
    DOI: 10.1007/978-3-031-55832-0
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    MPI Ethno. Forsch.
  • 8
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    Online-Ressource
    The Orchid Cage : A Science Fiction Novel (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031604997
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VII, 149 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: Science and Fiction
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    Schlagwort(e): Fiction. ; Technology ; Social evolution. ; Artificial intelligence.
    Kurzfassung: The First Attempt -- The Second Attempt -- The Third Attempt -- Epilog -- Afterword by Hans Esselborn.
    Kurzfassung: This book is a new English translation of the classic science fiction story written in 1961 by Herbert W. Franke, widely held to be the most important German-language science-fiction writer. A dead city on a distant planet, two groups of people trying to explore it. Step by step, they penetrate the outer ring with its ultra-modern technology, the half-ruined medieval city center and finally the mysterious center. But is the eerie city really dead? Suddenly the factories start working again, the automatons intervene, and somewhere in the background there is still something hidden that could perhaps awaken. But is it people or machines? Herbert W. Franke leads the reader into an oppressively strange world; only after the startling resolution does it become clear what lies behind the adventures of the intruders - not a cosmic strangeness, but a threatening development that could affect humans in the same way. Franke's novel is thus a parable of the evolution of all humans in the age of technical communication ...
    DOI: 10.1007/978-3-031-60499-7
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    MPI Ethno. Forsch.
  • 9
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    Online-Ressource
    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477157
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 873 p. 335 illus., 274 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 824
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47715-7
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    MPI Ethno. Forsch.
  • 10
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    Online-Ressource
    Ethics and Artificial Intelligence : Towards a Moral Technology (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031509025
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 83 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Systems, Decision and Control 519
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Control engineering.
    Kurzfassung: It is a book made up of questions, some without certain answers, that attempts to open the reader's mind to new and, perhaps, futuristic scenarios. There are two diametrically opposed approaches to artificial intelligence today. On the one hand, there are the techno-pessimists who see only dystopian scenarios and experience technological progress with apprehension, emphasising the dangers, and on the other hand, there are the techno-optimists who, on the other hand, tend to overestimate the positive effects, going so far as to attribute almost thaumaturgic virtues to technological progress. Our approach is meant to be secular and scientific; the risks must not be concealed, nor must they be overestimated, just as the positive aspects must not be emphasised. And, in any case, as in any social phenomenon, the governance of processes and the definition of a system of rules and policies are the aspects that can create advantages or disadvantages and, above all, can determine who are the beneficiaries of the advantages and who have to bear the disadvantages. Like any new technology, this too can be dehumanising, but technology is a tool that depends on how it is used and by whom it is used. that of ethics is, therefore, a fundamental aspect. Therefore, one should neither be a techno-optimist nor a techno-pessimist, but should be aware that governing the economic and social structural changes that the advent of artificial intelligence will cause will be crucial to ensure prosperity for future generations and to avoid negative and even apocalyptic scenarios. So no futurist dystopias! Humanity has so far always been able to govern technological progress, it certainly has the potential to govern what some have called 'the Final Invention', but it will only succeed if it is able to understand the peculiarities of this new process of technological development and give it ethical content.The book provides a thoughtful review of the relationship between artificial intelligence and ethics, approaching the issue from different perspectives: philosophical, technological, economic and legal. This will be one of the most important issues that Humanity will have to face and resolve.
    DOI: 10.1007/978-3-031-50902-5
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    MPI Ethno. Forsch.
  • 11
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    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563225
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 306 p. 99 illus., 73 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Engineering Cyber-Physical Systems and Critical Infrastructures 10
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.
    DOI: 10.1007/978-3-031-56322-5
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  • 12
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    AI Approaches for Designing and Evaluating Interactive Intelligent Systems : Selected and Revised Papers from RoCHI 2022 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539572
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 203 p. 52 illus., 37 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Learning and Analytics in Intelligent Systems 36
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    Schlagwort(e): Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Artificial intelligence.
    Kurzfassung: Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications. The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 that was held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts. Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.
    DOI: 10.1007/978-3-031-53957-2
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  • 13
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578533
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVIII, 489 p. 177 illus., 124 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 200
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: A Method for Estimating the Number of Diseases in Computed Tomography Reports of the Japanese Medical Image Database (J-MID): Variations among Facilities -- Enabling Dynamic Vulnerability Assessment for Multi-web Application Using Executable Directed Acyclic Graph -- Discovery of RESTful Web Services Based on the Openapi 3.0 Standard with Semantic Annotations -- Perfresolv: A Geo-distributed Approach for Performance Analysis of Public Dns Resolvers Based on Domain Popularity -- Dars: Empowering Trust in Blockchain-based Real-world Applications with a Decentralized Anonymous Reputation System -- An Empirical Comparison of Outlier Detection Methods for Identifying Grey-sheep Users in Recommender Systems -- Adaptive Consensus: Enhancing Robustness in Dynamic Environments -- Cottontrust: Reliability and Traceability in Cotton Supply Chain Using Self-sovereign Identity -- Interoperability Between Evm-based Blockchains -- Stand-up Indulgent Gathering on Lines for Myopic Luminous Robots -- Iot Identity Management Systems: The State-of-the-art, Challenges and a Novel Architecture -- Starm: Streaming Association Rules Mining in High-dimensional Data -- Regulation Compliance System for Iot Environments: Gdpr Compliance as a Use-case -- Two-dimensional Models of Markov Processes for System Availability -- Enabling Ai in Agriculture 4.: A Blockchain-based Mobile Crowdsensing Architecture.
    Kurzfassung: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57853-3
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  • 14
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    Data-Centric Security in Software Defined Networks (SDN) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555176
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIX, 118 p. 38 illus., 2 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Big Data 149
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    Schlagwort(e): Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Kurzfassung: Introduction -- Data-centric security -- Software Defined Networks -- Cross-layer enforcement of data security in SDN -- Risk-aware routing in SDN -- Risk-aware routing applicability for DCS enforcement -- DCS deployment in SDN-based systems.
    Kurzfassung: The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aim to provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.
    DOI: 10.1007/978-3-031-55517-6
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  • 15
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    Networking and Parallel/Distributed Computing Systems : Volume 18 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031532740
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 226 p. 113 illus., 91 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1125
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    Schlagwort(e): Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal -- Employee Management Support Application for Operation Managers and Its Security -- Text-based Data Analysis for Mental Health Using Explainable AI and Deep Learning -- Using the Internet of Things and Machine Learning to Monitor and Detect COVID-19 -- Comparison between the Route Using Improved Detours and Shortest Route on Distributed Key Value Store Based on Order Preserving Linear Hashing and Skip Graph -- Extraction Study of Leaf Area and Plant Height of Radish Seedlings Based on SAM -- A Scalable Middleware for IoT Vulnerability Detection -- Predicting Oil Spills in Real-Time: A Machine Learning and AIS Data-Driven Approach -- Data-driven OCL Invariant Patterns-based Process Model Exploration for Process Mining -- An Analysis of Program Comprehension Process by Eye Movement Mapping to Syntax Trees -- Self-supervised Monocular Depth Estimation and Ego-motion Made Better: A Masking Constraints -- Using Additional Sets of Random Data to Assess Possible Dissaving Risk against Life Expectancy for Elderly People -- A Study on the NFT and Blockchain Technology for Copyright Management -- The Effect of Enterprise Risk Management System on Risk Management Capability and Management Performance -- A Study on the Effect of Omnichannel Customers Acceptance Attitudes and Loyalty: Focusing on UTAUT2.
    Kurzfassung: The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form. This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-53274-0
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  • 16
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    Advances in Computational Intelligence Systems : Contributions Presented at the 21st UK Workshop on Computational Intelligence, September 7-9, 2022, Sheffield, UK (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555688
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 591 p. 194 illus., 141 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Advances in Intelligent Systems and Computing 1454
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: The scope of this book is to present the papers included at the 21st UK Workshop on Computational Intelligence (UKCI 2022), hosted by The University of Sheffield, between 7 and 9 September 2022, Sheffield, UK. This marks the first fully in-person UKCI conference, following the pandemic, a testament to the success and resilience of the UKCI community, as well as to the importance of computational intelligence (CI) research. The papers in this book are divided into five sections: fuzzy logic systems, machine learning, hybrid methods and network systems, deep learning and neural networks, and optimization and search.
    DOI: 10.1007/978-3-031-55568-8
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  • 17
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    New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031556845
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 434 p. 153 illus., 114 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1149
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-55684-5
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  • 18
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578403
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVIII, 452 p. 270 illus., 228 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 199
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Game Theory-Based Efficient Message Forwarding Scheme for Opportunistic Networks -- Improved UCB MAB-Based Algorithm for Relay Selection in Cooperative Narrowband PLC Communication -- Mutual-Visibility in Fibonacci Cubes -- Evaluation of the Trust Zone Model with the Information Flow Control -- PRVC: A Novel Vehicular Ad-hoc Network Caching based on Pre-trained Reinforcement Learning -- ElasticWISP-NG: Towards Dynamic Resource Provisioning for WISP Access Networks -- BBR-R: Improving BBR's RTT Fairness by Dynamically Adjusting Delay Detection Intervals -- Reducing Signaling Overhead in 5G Mobile Network for IoT Device Mobility -- On Network Design and Planning 2.0 for Optical-computing-enabled Networks -- DEAR: DRL Empowered Actor-critic ScheduleR for Multipath QUIC Under 5G/B5G hybrid networks -- Integrated Vehicle Access Protocol with Priority-Based Messaging for VANETs -- Adaptive Cost-Reward Scheduling for Optimizing Radio Utilization and Frequency Numerology Efficiency in B5G New Radio Networking -- Speed Control for Autonomous Vehicular Platoon -- A Comparison Study of a Fuzzy-based Simulation System and Testbed for Selection of Radio Access Technologies in 5G Wireless Networks -- A Distributed Approach for Autonomous Landmine Detection Using Multi-UAVs.
    Kurzfassung: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57840-3
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  • 19
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    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563881
    Sprache: Englisch
    Seiten: 1 Online-Ressource(Approx. 215 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1153
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.
    Kurzfassung: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-56388-1
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  • 20
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    Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering : The Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031608407
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VII, 250 p. 90 illus., 74 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 999
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Kurzfassung: The book Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering is providing exceptional chapters of the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning, machine learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Innovative research ideas on how to solve problems using artificial intelligence, both in R&D and real-time applications are presented. Chapters describe the advanced prototypes, systems, methodologies, tools and techniques and general survey papers, which indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023.
    DOI: 10.1007/978-3-031-60840-7
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  • 21
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    Producing Artificial Intelligent Systems : The Roles of Benchmarking, Standardisation and Certification (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558177
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 167 p. 46 illus., 38 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1150
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: On the relationship between Benchmarking, Standardisation and Certification in Robotics and AI -- Confiance.ai Program, Software Engineering for Trustworthy AI -- Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots -- Trustworthy Artificial Intelligence in the Context of Metrology -- Performance Modelling of Autonomous Mobile Robot Software Components -- Towards Standardization of Interaction Design: Cognitive Developmental Robotics Revisited -- KPI-driven Energy Monitoring Dashboards for Robotic Performance -- Co-Regulation and AI Innovation -- Prolegomenon for a Family of Theorems Regarding Trustworthiness in Autonomous Artificial Agents -- The Quest for an AI Ethics: Between Benevolence and Greed.
    Kurzfassung: The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment. In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-.
    DOI: 10.1007/978-3-031-55817-7
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  • 22
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    Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031560156
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 441 p. 39 illus., 22 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1151
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: The Impact of Strategic Agility on Competitive Capabilities: A Field Study of Tourism Companies in Amman, Jordan -- Impact of Viral Marketing on Customer Purchasing Intention of Fashion Industry in Jordan -- The Impact of Hospitals' Commitment to Social Responsibility on Perceived Medical Service Quality: An Empirical Study on a Sample of Private Hospital Patients in Amman, Jordan -- Impact of Sustainability Disclosure on Investment Decision-Making: Evidence from Emerging Economies -- The Conflict between Compulsory Execution and Termination of Publishing Contract According to the Au-thor's Moral Right -- Industry 4.0 Era: The Role of Robotic Process Automation in Internal Auditing Quality of Banking Sector in Jordan -- Transparency and Disclosure Issues in the Corporate Governance System in Developing Countries, Jordan Case Study: Previous Studies -- Mobile Payment and Digital Financial Inclusion: A Study in Jordanian Banking Sector Using Unified Theory of Acceptance and Use of Technology.-Exploring Jacques Lacan's Concept of the Unconscious and the Real -- Flexible Work System in the Jordanian Legislation: A Comparative Study -- The impact of the application of cyber accounting on achieving strategic objectives in banks listed on the Amman Stock Exchange -- The Pragmatic Function of Press Discourse Markers in French language -- Theoretical Perspective of Artificial Intelligence in Digital Marketing for Business Organizations -- Characteristics of Electronic Word of Mouth and its Impact on Patient’s Decision to Select Treatment Desti-nation. A Case of Jordan -- The Impact of International Environmental Conferences and Agreements on Environmental Protection in Jordanian Law -- The Role of the Media in Educating Governments and Societies about the Impact of Disasters -- Understanding the Effectiveness of Digital Media Marketing on Sports Brand Loyalty: A Review -- The Impact of Social Responsibility Dimensions on Achieving the Competitive Advantage of the Pharmaceutical Sector. A Case of Jordan -- Quality of Electronic Services and its Role in Developing the Performance of Employees: A Case Study of the National Aid Fund -- Attitudes of Students Towards Press Coverage of E-Learning: An Empirical Study -- Disarmament, Demobilization and Reintegration (DDR) Program -- The Impact of Applying the Internal Control System According to the (COSO) Framework on the Profitability Indicators of Industrial Companies Listed on the Amman Stock Exchange -- The Impact of Electronic Sales Promotion Tools on Consumers’ Purchasing Behavior Decision towards Consumable Goods. A Case of Jordan -- Special Mens Rea in the Crime of Theft in the Jordanian Criminal Legislation -- The Impact of Artificial Intelligence on Talent Acquisition Strategies in Jordanian Technology Startups -- The Effects of Training and Development on Achieving Institutional Excellence of Pharmaceutical Company in Jordan -- The impact of big data analytics capabilities on decision making at the telecommunications sector in Jordan -- The History and Concept of Modernism -- The Impact of Influencer Marketing on Brand Perception: A Study of Jordanian Customers Influenced on Social Media Platforms -- The Impact of the Balfour Declaration and the British Mandate on the Loss of Palestine (1917-1948) -- The Impact of Implementing Disruptive Technology on Organizational Change: A Field Study in Private Universities in Jordan -- The Social Responsibility and its Impact on the Patients Satisfaction Empirical Study on the Beneficiaries of Services of Zarqa Governmental Hospital in Jordan -- The Impact of Relationship Marketing on the Customer Loyalty -- Analysis of the impact of OCFM on PI in ICLASE.
    Kurzfassung: This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.
    DOI: 10.1007/978-3-031-56015-6
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  • 23
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    System Dependability - Theory and Applications : Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX. July 1–5, 2024, Brunów, Poland (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031618574
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 362 p. 124 illus., 93 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1026
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    Schlagwort(e): Computational intelligence. ; Dynamics. ; Nonlinear theories. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Large language models for data extraction in slot-filling tasks -- Chapter 2. Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof -- Chapter 3. Survival Signature for Reliability Quantificationof Large Systems and Networks -- Chapter 4. Using Resizing Layer in U-net to Improve Memory Efficiency -- Chapter 5. Multiprocessor task scheduling with probabilistic task duration -- Chapter 6. On-line scheduling multiprocessor tasks in the non-predictive environment -- Chapter 7. Solving a Vehicle Routing Problem for a real-life parcel locker-based delivery -- Chapter 8. Hammering test for tile wall using AI -- Chapter 9. Models of Resilient Systems with Online Verification Considering Changing Requirements and Latent Failures -- Chapter 10. Performance Optimizations of Real World Map Transformations for 3D Realtime Mobile Games -- Chapter 11. Preliminary Study on the Detection of Subtle Variations in Image Sequences for Identifying False Starts in Speedway Racing -- Chapter 12. Bibliometric Analysis of the Application of Artificial Intelligence in Renewable Energy Sources: Trends -- Chapter 13. Impact of the statistics of the learning data on the performance of a recommendation system based on MovieLens data -- Chapter 14. Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification -- Chapter 15. Wireless employee safety monitoring system with measurement of biomedical parameters -- Chapter 16. Artificial Intelligence Methods for Pet Emotions Recognition -- Chapter 17. Parallel Swarm Intelligence: Efficiency Studywith Fast Range Search in Euclidean Space -- Chapter 18. Digital Transformation Impacts on Industry 4.0 Evolution -- Chapter 19. Optimization of procurement strategy supportedby simulated annealing and genetic algorithm -- Chapter 20. Tumor volume measurements in animal experiments: current approaches and their limitations -- ....etc.
    Kurzfassung: This book presents a selection of papers about problems which arise in dependability studies of contemporary computer systems and networks. Their collection should be an interesting and inspiring source material for scientists, researchers, engineers, and students who must consider diverse dependability characteristics in design, analysis, or maintenance of computer systems and networks. The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.
    DOI: 10.1007/978-3-031-61857-4
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  • 24
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    Embedded Platforms for UAS Landing Path and Obstacle Detection II : Navigation Support Systems for Urban Air Mobility Operations (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031597541
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVI, 114 p. 88 illus., 84 illus. in color.)
    Ausgabe: 2nd ed. 2024.
    Serie: Studies in Systems, Decision and Control 530
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    Schlagwort(e): Computational intelligence. ; Electronics. ; Aerospace engineering. ; Astronautics. ; Artificial intelligence. ; Solar system.
    Kurzfassung: 1. Urban Air Mobility: Definitions, Regulations and Technologies -- 2. Unmanned Aircraft System: State of the art -- 3. SLAD System: Introduction and Description -- 4. Experimental Data Collection and Applied methodologies -- 5. Atmospheric Effects Analysis on Sensors involved in SLAD system -- 6. Simulations Tests and Results -- 7. Bluetooth Low Energy Positioning Technology -- 8. Conclusions.
    Kurzfassung: This book reports on the design and development of a system that assists remote pilots during navigation. It focuses on the design and development of a ground station that assists remote pilots during maneuvers such as take-off or landing procedures, in case a high accuracy is required or the GNSS signal is lost. Continuing the tradition of the previous volume, and being its revised edition, this book covers the latest UAS regulations together with updated strategies for finding the best and safest trajectory and landing site, with a special focus on urban air mobility applications. It describes the system’s components, such as the LiDAR sensor, the temperature and humidity sensors, the Raspberry Pi 3 controller, and the Bluetooth Low Energy Transmitter, in detail. Further, it discusses the experimental tests carried out in both controlled laboratory settings and real-world environments. All in all, this book offers a timely survey of both regulations of and electronics design for unmanned aircraft systems, with extensive information on new methods and technologies for the development of Detect and Avoid systems for unmanned aerial vehicles.
    DOI: 10.1007/978-3-031-59754-1
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  • 25
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    Session-Based Recommender Systems Using Deep Learning (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031425592
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIX, 301 p. 99 illus., 71 illus. in color.)
    Ausgabe: 1st ed. 2024.
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    Schlagwort(e): Computational intelligence. ; Information storage and retrieval systems. ; Artificial intelligence. ; Quantitative research.
    Kurzfassung: 1. Introduction to Session-Based Recommender Systems -- 2. Deep Learning Overview -- 3. Deep Discriminative Session-Based Recommender Systems -- 4. Deep Generative Session-Based Recommender Systems -- 5. Hybrid/Advanced Session-Based Recommender Systems -- 6. Learning to Rank in Session-Based Recommender Systems.
    Kurzfassung: This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
    DOI: 10.1007/978-3-031-42559-2
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  • 26
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    Computational Intelligence and Mathematics for Tackling Complex Problems 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031469794
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 147 p. 33 illus., 22 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1127
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Mathematics
    Kurzfassung: Additional notes on heterogeneous concept-forming operators -- On the measure of inconsistency of fuzzy relation equations -- Efficiency of fuzzy rough set decision algorithms -- Use of Fuzzy Time Series to generate linguistic descriptions of noise pollution -- A Novel Fingerprint Identification Fuzzy System Using a Center-Distance Weighted Local Binary Pattern -- Global Sensitivity Analysis and Low Magnitude Pruning for Convolutional Neural Networks Reduction in ImageNet based on Transfer Learning State of the Art Models -- Generalized linearity of aggregation and related functions -- A preliminary study between semicopulas and other algebraic structures -- Closure theory of semirings-valued fuzzy sets.
    Kurzfassung: This book is focused on connecting two interesting research areas, mathematics and computational intelligence, by means of appealing contributions devoted to give solutions to different challenges of the current technological age. It continues the collection of articles dealing with the important and efficient combination of these both areas, with a stress of fuzzy systems and fuzzy logic. It also includes relevant papers on the development and application of mathematics, artificial intelligence, and automatic reasoning tools to Digital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es).
    DOI: 10.1007/978-3-031-46979-4
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  • 27
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    Advances in Computational Intelligence Systems : Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031475085
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 670 p. 268 illus., 225 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Advances in Intelligent Systems and Computing 1453
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Towards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting.
    Kurzfassung: This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.
    DOI: 10.1007/978-3-031-47508-5
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  • 28
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    Advances in Knowledge Discovery and Management : Volume 10 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031404030
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVI, 129 p. 68 illus., 49 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1110
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Data mining.
    Kurzfassung: 1.New Methods for Compressing Table Constraints -- 2.Construction and Elicitation of a Black Box Model in the Game of Bridge -- 3.Knowledge graph publishing with anatomy, toward a new privacy and utility trade-off -- 4.Comparison of Short-Text Embeddings for Unsupervised Event Detection in a Stream of Tweets -- 5.Multilingual Question Answering applied to Conversational Agents -- 6.Reinforcement Learning for Expert Finding from Web Search Results -- List of Contributors -- Author Index.
    Kurzfassung: This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC’2020 conferences held in Paris (France, January 27-31, 2020). It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%). For more details about the EGC society, please consult egc.asso.fr.".
    DOI: 10.1007/978-3-031-40403-0
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  • 29
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477188
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 905 p. 448 illus., 340 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 825
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47718-8
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  • 30
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    Advanced Techniques of Artificial Intelligence in IT Security Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031538544
    Sprache: Englisch
    Seiten: 1 Online-Ressource(V, 91 p. 38 illus., 35 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Big Data 146
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    Schlagwort(e): Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Kurzfassung: Artificial neural networks -- Initialization of weights values in neural networks -- Convolution neural networks -- Application of artificial intelligence methods in profiling of computer network users -- Profiling users using the random forest algorithm -- Convolutional networks in user profiling -- User profiling using recurrent-convolutional networks -- Detection of network traffic anomalies using OC-NN.
    Kurzfassung: The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
    DOI: 10.1007/978-3-031-53854-4
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    New Perspectives in Software Engineering (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031505904
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 410 p. 136 illus., 103 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1135
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    Schlagwort(e): Engineering ; Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.
    DOI: 10.1007/978-3-031-50590-4
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  • 32
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031520907
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 328 p. 164 illus., 145 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 871
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Part I: Mobility -- Low-Cost Robotic System of Detection of Anti-Personal Metal Mines -- Life cycle assessment of the Polyethylene Terephthalate (PET) waste bottles recycling process of a local industry in Guayaquil -- Flood risk analysis in an Andean watershed by integrating satellite data and multicriteria analysis. -- Assessing the Growth of Electric and Hybrid Vehicles in Ecuador’s Transportation Sector: A Technical Analysis of Their Impact on the Energy Matrix -- Evaluation of urban freight distribution in a medium-sized city: Ecuadorian case study -- Assessing the Performance of Electric Bicycles for Active Commuting in Higher Education: A Case Study of the UPS Cuenca Campus -- Analysis of Energy Efficiency Electric Vehicles Using a Driving Cycle on an Established Route in the City of Ambato -- A Systematic Literature Review of Tire Management in Ecuador -- Analysis of Cycle Gait on Different Surfaces using Inertial Sensors -- Data analysis applied to driver profile data obtained through vehicle telemetry and classification algorithms -- Development of an LSTM-based Model with Attention Mechanism for Detection of Traffic’s Officer Hand Gestures for Autonomous Vehicles in Ecuador -- Urban Digital Twins for Synthetic Data of Individuals with Mobility Aids in Curitiba, Brazil, to Drive Highly Accurate AI Models for Inclusivity -- English language teaching through the use of immersive environments supported by virtual reality -- Design and Implementation of Photovoltaic Energy Storage Systems Based on Batteries of Hybrid cars using a Second- Life Method -- Bibliometric review on a hybrid learning model with VLEs from a higher education context -- Part II: Sustainability and environment -- Simulation of the Flow behavior in the storage tank of a Hydropower using OpenFOAM -- Exploring the norm activation model together with external influences and environmental moral values: The case of Guayaquil, Ecuador -- Methodological application proposal for energy-electrical evaluation of National Polytechnic School in the context of a sustainable campus -- Louver of coconut fiber and sawdust bonded epoxy resin -- Design Of A Solar Photovoltaic Led System For Outdoor Illumination -- Treatment Of Liquid Effluents From Post-Harvest Flowers Through Advanced Oxidation -- Simulation of Synchronized Controls in Circuit Breakers of Power Transformers and Operation of Reactive Compensation Banks -- Spatial modeling of dissolved oxygen in wastewater from the Quebrada ¨Ortega ¨ of the Quito canton, Pichincha province -- Feasibility analysis of a photovoltaic power generation system using different charge controllers -- Analysis of Aluminum Can Management in Ecuador -- Impact of hydroponic green fodder: A comparative study on the quality of fresh cheese -- Intelligent Monitoring System for fry rearing using Fuzzy Logic -- Automatic classification of squat execution based on inertial sensors and machine learning -- Marine Predator Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization -- Foot Pathology Analyzer.
    Kurzfassung: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-52090-7
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    Artificial Intelligence of Things for Achieving Sustainable Development Goals (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534331
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 388 p. 105 illus., 92 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 192
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Environmental sciences ; Engineering
    Kurzfassung: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.
    Kurzfassung: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.
    DOI: 10.1007/978-3-031-53433-1
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  • 34
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS´2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031519826
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 340 p. 180 illus., 154 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 870
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Part I: Industry -- Numerical study through CFD of the behavior of a centrifugal fan for dust extraction systems -- Optimization of the stamping process of oven sides panels for domestic cooking through finite element modeling -- Topological optimization of swing arm for electric motorcycles -- Micromechanical modeling of biobased sisal polylactic acid compounds -- A Proposal of a Fair Voting Ensemble Classifier Using Multi-Objective Optimization -- Physical-Chemical Characterization of Cocoa Oil Subjected to an Accelerated Fermentation Process -- Control system for a cacao drying process: case study cylindrical dryer -- Comparative study of multivariate statistical methods for predicting the academic performance of students at the University of Guayaquil -- Calculation of the efficiency of an electromagnetic coil according to the induction resistance of the pot -- Development of a Control System for a Biomechanical Prosthetic -- The Impact of Intranet Use on Internet Sales During COVID-19: A Study of Companies in Ecuador -- Embedded Systems for Tracking and Detection of Pets through an IoT Network -- Mobile Application for Online Procedures in the Municipality of San Miguel de Ibarra -- Assessment of decommissioning cost of proton therapy centers depending on the shielding material in the building process -- Vehicular Ad-Hoc Network (VANET) -- Part II: Infotelecom -- Use of leaderboards to gamified drive student performance as a motivational strategy in VLE environments -- Microlearning as a learning consolidation strategy for the university blended learning modality in a VLE -- Physical and Organoleptic Evaluation of 12 Cocoa Clones (Theobroma cacao L.) of National Type, in Cocoa Liquor – A Study from Ecuador -- External factors and socioeconomic influence on users acceptance of online payments -- Proposal of evaluation cases for the standardization of the validation activities of neutron unfolding codes -- Function and Management Emulation of CEDIA Backbone: The Ecuadorian Advanced Network Updated From IPv4 to IPv6 -- Implementation of an Intelligent Platform for Sustainable Urban Water Consumption Management: A Case Study of Digital Transformation in Zaruma City, Ecuador -- Governmental portal of the National Transit Agency of Ecuador: Web usability aspects and user satisfaction aimed at the elderly. -- Development of a Web Application for evaluating corporate social responsibility practices -- Performance evaluation of an internet-of-things platform based on open-source -- Development and evaluation of an intelligent chatbot for the management of citizen procedures in the GAD San Miguel de Ibarra -- Software for Speech Therapy Support Through PECS Oriented to Digital Learning Environments For Children With Moderate ASD -- Development of a Brain-Computer Interface to Control Finger Movements of a Robotic Hand -- Proposal of an Agile Approach based on Scrum for Managing Continuing Education Programs -- Development of a Compact Synchrotron Proton Therapy Center Model for Monte Carlo-Based Radiation Protection Studies.
    Kurzfassung: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-51982-6
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  • 35
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522550
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 354 p. 150 illus., 133 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 902
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: Proposal design of an autonomous photovoltaic plant on potentially liquefiable soil in the isolated rural community of Agua Fría, Ecuador -- Seismic design considerations for the installation of photovoltaic systems on flat reinforced concrete roofs: A case study in Ecuador -- A brief guide to the implementation of lean tools in the Ecuadorian context -- Analytical study of the behavior of tubular elements reinforced with natural fibers under dynamic loads -- Landstorfer antenna structure shaping based on parameterized parallel curves -- Solving the generation and transmission capacity expansion planning framework modeling the AC power flow problem and incorporating reactive compensation devices -- Reconstruction of the boundary condition of the convection–diffusion–reaction equation with automatic selection of the step length -- Assessing carbon capture, transport, and storage processes: A critical review -- Antenna densification in non-uniform linear and planar arrays -- Greinacher rectifier evaluation for WiFi band energy harvesting -- Experimental measurement of potential energy in stairways with hydraulic damping systems -- Vulnerability characteristics of wetlands in the Guaranda wasteland, central Ecuador – Implications of long-term sustainability -- Climate variability and its effect on flood risk through dynamic modeling in the Quigushuaycu stream -- Network Neutrality policies in the 5G South American market -- Evaluation of the internal temperature and hours of thermal discomfort produced by sunshine: Study of a hot dry climate -- Review of biomass and biopolymers synthesized in Ecuador -- Solar energy conversion systems thermal management applying constructal theory: a comparative analysis -- Quantification of the decrease of droplets expelled from the human respiratory tract during expiratory activities when using masks -- Impacts of park-and-ride systems on vehicle emissions in intermediate cities -- Machine learning regressors in forecasting mechanical properties in advanced manufacturing processes -- Comparative evaluation of performance efficiency in terms of temporal behavior and resource utilization, according to the ISO/IEC 25010 model, in a web application developed with Angular, React.js, and Vue.js -- Prediction models of oral diseases: A systematic review of the literature -- How can personal knowledge graphs contribute to precision nutrition? -- Interactive e-Books in mathematics learning: A systematic mapping study.
    Kurzfassung: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52255-0
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    Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 – Workshop on Computational Optimization (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031573200
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 315 p. 86 illus., 60 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1158
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Kurzfassung: 1. Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 2. Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 3. Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 4. Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 5. Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 6. Application of Methaeuristics for Agricultural System Modelling -- 7. Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 8. Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 9. Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 10. Surrogate Estimators for Complex Bi-Level Energy Management, etc.
    Kurzfassung: The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
    DOI: 10.1007/978-3-031-57320-0
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    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563102
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 280 p. 123 illus., 100 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Engineering Cyber-Physical Systems and Critical Infrastructures 9
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines. .
    DOI: 10.1007/978-3-031-56310-2
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579318
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIX, 513 p. 198 illus., 160 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 203
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Application of Soft Computing Techniques for Clustering in VANETs: A Survey -- EarlyStage Diabetes Risk Detection Using Comparison Of Xgboost, Lightgbm, And Catboost Algorithms -- Blockchain Based Artificial Intelligence of Things (AIoT) for Wildlife Monitoring -- Research on Screw Detection Using Artificial Intelligence Technology -- An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms -- Targeted and Automatic Deep Neural Networks Optimization for Edge Computing -- Edge to Cloud Network Function Offloading in the ADAPTO Framework -- DEFEDGE: Threat-driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems -- Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum -- REDRAW: FedeRatED leaRning for humAn Wellbeing -- Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees -- Optimization of University Services through Cloud-Edge Integration: Study of a use case at the University of Naples Federico II -- Distributed Collaborative AR on Cloud Continuum: a Case Study for Cultural Heritage -- Survey on Reference Architecture for Cloud Continuum and Multi-Access Edge Computing (MEC) in 5G Networks -- Elastic Autoscaling for Distributed Workflows in MEC Networks.
    Kurzfassung: This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications, different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57931-8
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  • 39
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579424
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIX, 501 p. 186 illus., 151 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 204
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0 -- Fixed-parameter Tractability for Branchwidth of the Maximum-weight Edge-colored Subgraph Problem -- On Coverage in Multi-interface Networks with Bounded Pathwidth -- Sensitivity Analysis of Performability Model to Evaluate Pbft Systems -- Algorithmic Aspects of Distributing Energy Consumption in Multi-interface Networks -- Blockchain and Financial Services a Study of the Applications of Distributed Ledger Technology (Dlt) in Financial Services -- A Personalized Parking Guidance Service Based on Computer Vision Technology for Large Car Parks -- Mathematical Modelling of Covid-19 Using Odes -- Analyzing Monitoring and Controlling Techniques for Water Optimization Used in Precision Irrigation.
    Kurzfassung: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57942-4
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  • 40
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578700
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVIII, 462 p. 198 illus., 155 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 201
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Efficient Communication Protocol for Programmable Matter -- IoRT-based Distributed Algorithm for Robust Team Formation and its Application to Smart City Operation -- A WSN and Vision based Energy Efficient and Smart Surveillance System using Computer Vision and AI at Edge -- Mitigating Resource Depletion and Message Sequencing Attacks in SCADA Systems -- API Descriptions for the Web of Things -- SmartDriveAuth: Enhancing Vehicle Security with Continuous Driver Authentication via Wearable PPG Sensors and Deep Learning -- A Vision Transformer Based Indoor Localization Using CSI Signals in IoT Networks -- Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services -- Optimising Water Quality Classification in Aquaculture Using a New Parameter Pre-selection Approach -- Topic Analysis of Japanese Sentences Using Sentence Embeddings -- Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction -- A Fuzzy-based System for Assessment of Performance Error in VANETs -- Carbon Credits Price Prediction Model (CCPPM) -- Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-based Adversarial Attack Defense Strategies -- Framework for Cognitive Self-Healing of Real Broadband Networks -- Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.
    Kurzfassung: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57870-0
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  • 41
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579165
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVIII, 485 p. 178 illus., 141 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 202
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: The Deployment of E-Learning Application as a Web Service in a Cloud Broker Architecture -- CarbonApp: Blockchain Enabled Carbon Offset Project Management -- Investigating the Impact of Congestion Control Algorithms on Edge-Cloud Continuum -- Design and Implementation of a Fuzzy-based System for Assessment of Relationship Trust -- BarongTrace: A Malware Event Log Dataset for Linux -- Specifying SSI over EAP: Towards an Even Better Eduroam in the Future -- FastSGX: A Message-passing based Runtime for SGX -- Leveraging Chat-Based Large Vision-Language Models for Multimodal Out-of-Context Detection -- Enhancing the 5G-AKA Protocol with Post-Quantum Digital Signature Method -- SoK: Directions and Issues in Formal Verification of Payment Protocols -- PCPR: Plaintext Compression and Plaintext Reconstruction for Reducing Memory Consumption on Homomorphically Encrypted CNN -- Design and Performance Evaluation of a Two-stage Detection of DDoS Attacks Using a Trigger with a Feature on Riemannian Manifolds -- Discovering Personally Identifiable Information in Textual Data - A Case Study with Automated Concatenation of Embeddings -- Towards User-Oriented Steganography -- AI-based Cybersecurity Systems.
    Kurzfassung: The aim of the book is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure, and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design, and applications of computer networks, distributed computing, and information systems.
    DOI: 10.1007/978-3-031-57916-5
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    Strategic Blueprint for Enterprise Analytics : Integrating Advanced Analytics into Data-Driven Business (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558856
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 245 p. 64 illus., 34 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Big Data 150
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    Schlagwort(e): Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Kurzfassung: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
    DOI: 10.1007/978-3-031-55885-6
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  • 43
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    New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031537134
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 210 p. 73 illus., 61 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1146
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Towards Interval Type-3 Fuzzy Parameter Adaptation in Metaheuristics -- An Application of Controlled Sets in Medical Diagnosis -- Dynamic Adjustment of an Artificial Fish Swarm Algorithm using Shadowed Type-2 Fuzzy Logic for Enhancing Benchmark Function Optimization -- α-Interval Valued Fuzzy Sets and α-Interval Valued Fuzzy Subgroups -- Design of a Fuzzy PID controller for the balancing problem of a Quadruped Robot.
    Kurzfassung: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-53713-4
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  • 44
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    AI and Neuro-Degenerative Diseases : Insights and Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531484
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 181 p. 35 illus., 31 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1131
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    Schlagwort(e): Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Kurzfassung: 1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases -- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases -- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases -- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective -- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI -- 6. Prevalence of Dementia in India -- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles -- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges -- 9. Ethical considerations: Case Scenarios.
    Kurzfassung: This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art. Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.
    DOI: 10.1007/978-3-031-53148-4
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477249
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 879 p. 380 illus., 339 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 823
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47724-9
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  • 46
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    Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542770
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 246 p. 68 illus., 59 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Big Data 148
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    Schlagwort(e): Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Kurzfassung: Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.
    Kurzfassung: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
    DOI: 10.1007/978-3-031-54277-0
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  • 47
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    Machine Learning for Cyber Physical System: Advances and Challenges (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540387
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVI, 406 p. 148 illus., 109 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Intelligent Systems Reference Library 60
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Machine learning. ; Artificial intelligence.
    Kurzfassung: SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection -- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations -- Unsupervised approaches in anomaly detection -- Profiling and Classification of IoT Devices for Smart Home Environments -- Application of Machine Learning to Improve Safety in the Wind Industry -- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning -- Unraveling what is at stake in the intelligence of autonomous cars -- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities -- Application of Deep Learning in Medical Cyber-Physical Systems -- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning -- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges -- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration -- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning -- Current datasets and their inherent challenges for Automatic Vehicle Classification.
    Kurzfassung: This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. .
    DOI: 10.1007/978-3-031-54038-7
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  • 48
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    IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities : Harnessing the Power of IoT to Create Sustainable and Efficient Urban Environments Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031606298
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 512 p. 411 illus., 349 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 984
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Energy policy. ; Energy and state. ; Artificial intelligence.
    Kurzfassung: This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.
    DOI: 10.1007/978-3-031-60629-8
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  • 49
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    Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614712
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 531 p. 273 illus., 205 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Information Systems Engineering and Management 3
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Chapter 1. A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction -- Chapter 2. A Comparative Overview of Deep Learning Aided Image Generation. Chapter 3. Enhancing Pneumonia Detection in Chest X-Rays: A Combined GAN and CNN Approach -- Chapter 4. A Data Driven AI Framework for Conversational Bot by Vision Transformers in Health Care Systems -- Chapter 5. Predictive Modelling of Cardiac Disease: Enhancing Accuracy through Machine Learning Algorithms and Borderline-SMOTE Technique -- Chapter 6. An AI-Driven Model for Decision Support Systems -- Chapter 7. Exploring Music Genres through Facial Emotions: Intelligent Data Processing and Machine Learning -- Chapter 8. Optimizing Cloud Task Scheduling through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means -- Chapter 9. Cirrhosis Patient Survival Prediction Analysis using Ml Algorithms -- Chapter 10. Learnable Discrete Wavelet(LDW) Pooling in CNN for Multidisciplinary Disease Prediction in Healthcare -- Chapter 11. Autonomous Human Computer Interaction System in Windows Environment using YOLO and LLM -- Chapter 12. Deep Learning based Animal Intrusion Detection System -- Chapter 13. Sustainable Crop Monitoring and Management for Enhanced Agricultural Productivity through IoT, AI & ML: Case Studies and Innovations -- Chapter 14. Design of an Auto Evaluation Model for Subjective Answers using Natural Language Processing and Machine Learning Techniques -- Chapter 15. Navigating the Radiological Landscape: A Cutting-Edge Hybrid VGG16-EfficientNet Model for Improved CT Scan Interpretation -- Chapter 16. Optimized Scene Text Detector and Paddle Optical Character Recognizer Techniques to Extract Text from Images -- Chapter 17. A Cost-Sensitive Sparse Auto-Encoder based Feature Extraction for Network Traffic Classification using CNN.-....etc.
    Kurzfassung: This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
    DOI: 10.1007/978-3-031-61471-2
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  • 50
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    Granularities-Driven Hesitant Fuzzy Linguistic Decision Making (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031603501
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 188 p. 48 illus., 39 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Fuzziness and Soft Computing 433
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: 1. Introduction -- 2. Hesitant fuzzy linguistic term set with granularity level -- 3. Attribute dependency processing based on hesitant fuzzy linguistic term sets with granularity levels -- 4. Attribute reduction procedure based on hesitant fuzzy linguistic term sets with granularity levels -- 5. Single-objective group decision making based on complete hesitant fuzzy linguistic term sets with granularity levels.
    Kurzfassung: This book introduces a state-of-the-art extension of fuzzy sets that is hesitant fuzzy linguistic term sets with granularity levels, and based on the fuzzy technique, several granularities-driven hesitant fuzzy linguistic decision-making methods are introduced to provide powerful tools to solve actual problems. Motivated from the idea of granular computing, the technique of hesitant fuzzy linguistic term sets with granularity levels is constructed, which not only brings flexibility and individuality for the linguistic model, but also provides a possibility to process a large amount of linguistic information in group decision-making efficiently and accurately. Thus, the researches on granularities-driven hesitant fuzzy linguistic decision making, can provide an effective way to solve practical decision-making problems based on complex linguistic information, and enrich the research system of decision-making and granular computing in theory and practice. In specific, this book introduces the construction of hesitant fuzzy linguistic term sets with granularity levels, and methods of handling attribute dependence, attribute reduction, single-objective group decision-making, and bi-objective group decision-making. The above decision-making methods are applied to the evaluation of medical and health management, and the effectiveness and advantages of the methods are verified by simulation comparison and analysis. Therefore, this book has not only important theoretical significance, but also broad application prospects.
    DOI: 10.1007/978-3-031-60350-1
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  • 51
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    Data-Centric Business and Applications : Advancements in Information and Knowledge Management, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031591310
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 441 p. 106 illus., 92 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 208
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Business information services. ; Artificial intelligence.
    Kurzfassung: Hydrogen Project Execution Plan for domestic use -- Exploring Different Approaches to Epidemic Processes Simulation: Compartmental, Machine Learning, and Agent-Based Models -- Enhancing a learning management system's effectiveness through NEP-compliant curriculum changes and their effects at HEIs -- Analysis of Modern Approaches to the Transformation of Social Systems in Postmodern Society -- Reputation of a non-profit organisation - A quantitative-empirical study embedded in risk management on police reputation and reputation loss -- The role of information and communication technology in the social and healthcare services co-production -- Trade Unions of Eastern Galicia During The Socio-Political Processes of the 19th – Early 20th Centuries -- Image Processing Application Development: A New Approach and its Economic Profitability -- Sustainable Supply Chain of both Organic and Non-Organic Food Under Uncertainty -- Time series forecasting for Personal Protective Equipment during COVID-19 pandemic: a case study of Quebec -- Cultural Heritage Management: A Review of the Literature -- From Destruction to Digitization: Safeguarding Ukraine's Cultural and Archival Heritage in Wartime -- Machine Learning for Predicting Stroke Occurrences Using Imbalanced Data -- State Aid – Economic Instrument to Support SME -- Identification of Determinants of Using Crowdfunding as a Source of Financing the Development of Social Enterprises - The Perspective of Polish Social Entrepreneurs -- The Slovak organic food market: development of organic agricultural area, organic agricultural production and sales of packaged organic food -- A survey of Crowdsourcing in Last-Mile Delivery in the optimization literature -- Influence of the State on Cross-Border Trade Management in Commercial Global Digitalization -- Forecast modelling of socio-economic development under social and economic transformations.
    Kurzfassung: This book stands out by exploring the significance of data in various aspects of business, including operations, decision-making, and application development, in a comprehensive and accessible manner. It delves into advanced topics such as data management, analytics, knowledge discovery, artificial intelligence, data-centric business models, emerging technologies, and ethical implications, providing a unique perspective. The book is appropriate for academics, professionals, and researchers with intermediate to advanced data management skills. Data plays a crucial role in today's rapidly evolving digital environment, serving as the foundation for businesses and the key element in driving innovation across diverse industries. This book delves into the latest advancements in data management, their impact on modern corporate settings, and advanced information and knowledge management concepts. The chapters in this book discuss various topics, including incorporating data-driven methods into business models, the difficulties and advantages of emerging technology, and the ethical aspects of making decisions based on data.
    DOI: 10.1007/978-3-031-59131-0
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    Explainable Artificial Intelligence in the Digital Sustainability Administration : Proceedings of the 2nd International Conference on Explainable Artificial Intelligence in the Digital Sustainability Administration (AIRDS 2024) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031637179
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 390 p. 96 illus., 82 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1033
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: -- 1. Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions. -- 2. Applying robotic process automation (RPA) in sustainable audit quality: A literature review survey. -- 3. Advancing sustainable learning by boosting student self-regulated learning and feedback through AI-driven personalized in EFL education. -- 4. Enabling sustainable learning through virtual robotics machine mediation of social interactions between teachers, students, and machines based on sociology lens. -- 5. The role of Artificial Intelligence in improving customer service and retaining human resources: Digital Sustainability as a Mediating variable. -- 6. Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods. -- 7. The role of AI applications in the advertising and design in social media marketing: A stride in the direction of marketing sustainability. -- 8. Artificial Intelligence and Environmental, Social and Governance: A Bibliometric Analysis Review. -- 9. The Mediating Influence of Energy Reduction on the Relationship Between Green Production and Digital Sustainability: Insights from Iraqi Oil Companies. -- 10. Exploring University Faculty Members ' Sustainable Innovative Behavior of Work with Artificial Intelligence: A Review of the Literature. -- 11. Exploring Customer Engagement Intentions with Interactive Smart Tables of AI for Full-Service Restaurants Sustainability. -- 12. The role of artificial intelligence trading robots in rationalizing cryptocurrency trading decisions by application to Bitcoin currency. -- 13. The effect of detecting earnings management according to artificial intelligence techniques on the sustainable accounting information. -- 14. Financing and Investing in Artificial Intelligence: The Lucrative Benefits in Terms of Sustainable Digitalization. -- 15. Sustaining an agile supply chain by adopting industry technologies (4.0). -- 16. The investment of human capital in digital green economy transition to support artificial intelligence technologies at private hospitals. -- 17. Interpretive structural modeling (ISM) as an artificial intelligence system for improving sustainable performance. -- 18. The Role of Artificial Intelligence in Promoting the Environmental, Social and Governance (ESG) Practices. -- 19. Harnessing Technological Innovation and Artificial Intelligence in Iraqi Commercial Banks to Achieve Sustainability. -- 20. Artificial intelligence and trends using in sustainability audit: A Bibliometric Analysis. -- 21. Using artificial intelligence to predict the financial gearing's capability to achieve financial sustainability. -- 22. Towards digital sustainability: Integrating canonical correlation with artificial neural network. -- 23. Artificial intelligence simulation of ant colony and decision tree in terms sustainability. -- 24. The Role of Artificial intelligence in Improving Sustainable Audit Quality. -- 25. Maximizing the marketing capabilities and digital sustainability of B2B & B2C platforms using artificial intelligence. -- 26. Using LSTM Network based on Logistic Regression Model for Classifying Solar radiation Time Series.
    Kurzfassung: This book explores current research trends in the context of the explainable artificial intelligence’s impact on the digital sustainability trend while delving into case studies on education, tourism, marketing, and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of artificial intelligence.
    DOI: 10.1007/978-3-031-63717-9
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    Innovation and Research – Smart Technologies & Systems : Proceedings of the CI3 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634376
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVI, 380 p. 167 illus., 149 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1041
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: This book gathers research papers presented at the 4th edition of the International Research and Innovation Conference—CI3 2023, that took place from August 30 to September 1, 2023, at the facilities of the Instituto Tecnológico Universitario Rumiñahui, located in the city of SangolquÍ, Pichincha, Ecuador.The conference was organized by the Red de Investigación, Innovación y Transferencia de Tecnología—RIT2, made up of the most relevant university institutes in Ecuador, among which are ITCA, BOLIVARIANO, ARGOS, VIDA NUEVA, ESPÍRITU SANTO, SUDAMERICANO, ISMAC, SAN ISIDRO, ARTES GRÁFICAS, ORIENTE, HUMANE, SUCRE, CENTRAL TÉCNICO, POLICÍA NACIONAL and RUMIÑAHUI. Additionally, the event is sponsored by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación—SENESCYT, Labortorio de Comunicación Visual de la Universidad Estatal de Campinas—Brazil, Universidad Ana G. Méndez—Puerto Rico, Centro de Investigaciones Psicopedagógicas y Sociológicas—Cuba, Instituto Superior de Diseño de la Universidad de La Habana—Cuba, GDEON and the Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia—CEDIA.The main objective of CI3 2023 is to generate a space for dissemination and collaboration, where academia, industry and government can share their ideas, experiences and results of their projects and research. “Research as a pillar of higher education and business improvement” is the motto of the Conference and suggests how research, innovation and academia must coincide with the productive sector to leverage social and economic development. CI3 2023 had 145 papers submitted, of which 52 were accepted for publication and presentation. To guarantee the quality of the publications, the event has a staff of more than 70 experts, from different countries such as Spain, Argentina, Chile, Mexico, Peru, Brazil, Ecuador, among others, who carry out an exhaustive review of each proposal sent. The content of this proceeding is related to the following topics: • Smart Cities • Innovation and Development • Applied Technologies • Economics and Management • ICT for Educations .
    DOI: 10.1007/978-3-031-63437-6
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  • 54
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    Innovation and Research – Smart Technologies & Systems : Proceedings of the CI3 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634345
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 312 p. 173 illus., 151 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1040
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: This book gathers research papers presented at the 4th edition of the International Research and Innovation Conference—CI3 2023, that took place from August 30 to September 1, 2023, at the facilities of the Instituto Tecnológico Universitario Rumiñahui, located in the city of SangolquÍ, Pichincha, Ecuador.The conference was organized by the Red de Investigación, Innovación y Transferencia de Tecnología—RIT2, made up of the most relevant university institutes in Ecuador, among which are ITCA, BOLIVARIANO, ARGOS, VIDA NUEVA, ESPÍRITU SANTO, SUDAMERICANO, ISMAC, SAN ISIDRO, ARTES GRÁFICAS, ORIENTE, HUMANE, SUCRE, CENTRAL TÉCNICO, POLICÍA NACIONAL and RUMIÑAHUI. Additionally, the event is sponsored by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación—SENESCYT, Labortorio de Comunicación Visual de la Universidad Estatal de Campinas—Brazil, Universidad Ana G. Méndez—Puerto Rico, Centro de Investigaciones Psicopedagógicas y Sociológicas—Cuba, Instituto Superior de Diseño de la Universidad de La Habana—Cuba, GDEON and the Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia—CEDIA.The main objective of CI3 2023 is to generate a space for dissemination and collaboration, where academia, industry and government can share their ideas, experiences and results of their projects and research. “Research as a pillar of higher education and business improvement” is the motto of the Conference and suggests how research, innovation and academia must coincide with the productive sector to leverage social and economic development. CI3 2023 had 145 papers submitted, of which 52 were accepted for publication and presentation. To guarantee the quality of the publications, the event has a staff of more than 70 experts, from different countries such as Spain, Argentina, Chile, Mexico, Peru, Brazil, Ecuador, among others, who carry out an exhaustive review of each proposal sent. The content of this proceeding is related to the following topics: • Smart Cities • Innovation and Development • Applied Technologies • Economics and Management • ICT for Educations .
    DOI: 10.1007/978-3-031-63434-5
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    Forthcoming Networks and Sustainability in the AIoT Era : Second International Conference FoNeS-AIoT 2024 - Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031628719
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 458 p. 236 illus., 202 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1035
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: Determining the Digits of Turkish Sign Languages Using Deep Learning Techniques -- Calculation of Bit Error Probability for Direct Sequence Spread Spectrum Communications with Multiple Access Interference of Rayleigh Distribution -- Designing and Simulation of Three Phase Grid Connected Photovoltaic System -- Security and Reliability Concerns of AI on Critical Embedded Systems -- A Survey of Machine Learning Assistance in Seismic Interpretation -- Enhancing Facial Recognition Accuracy and Efficiency Through Integrated CNN PCA and SVM Techniques -- Enhancing IoT Device Security A Comparative Analysis of Machine Learning Algorithms for Attack Detection -- Crime Prediction Using Machine Learning -- A Web based Disease Prediction System Using Machine Learning Algorithms and PCA -- Smart Cities Sustainable Paths Energy Harvesting and Mobility Solutions for Tomorrows Urban Landscapes.
    Kurzfassung: This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.
    DOI: 10.1007/978-3-031-62871-9
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    Forthcoming Networks and Sustainability in the AIoT Era : Second International Conference FoNeS-AIoT 2024 - Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031628818
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 424 p. 212 illus., 173 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1036
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: Analyzing the Economic Viability and Design of Solar Powered Water Pumps for Farming Irrigation Case Study Conducted in Somalia -- Evaluation of No load Losses in the Single sheet Double sheet and Triple sheet Step Lap Joints of the Transformer Core -- Modeling and Simulation of a Hybrid Electrical Grid for Reliability and Power Quality Enchantment -- Lane Segmentation and Turn Prediction Using CNN and SVM Approach -- Internet of Things Data Privacy And Security Based On Blockchain Technology -- Enhancing Biogeographical Ancestry Prediction with Deep Learning A Long Short Term Memory Approach -- Stacking Ensemble for Pill Image Classification.
    Kurzfassung: This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.
    DOI: 10.1007/978-3-031-62881-8
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    Communication in the Metaverse (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634857
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 196 p. 1 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Signals and Communication Technology
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Virtual reality. ; Augmented reality. ; Artificial intelligence.
    Kurzfassung: Introduction -- What Is the Metaverse -- Communication in the Metaverse -- Social Construction and Self-Presentation -- Nonverbal Communication in the Metaverse -- Interaction, Collaboration, and Training in the Workplace -- Education in the Metaverse -- Deception in the Metaverse -- Other Problems: Privacy Concerns, Surveillance, and Hate Speech -- Discussion and Future Directions -- Conclusion.
    Kurzfassung: This book explores the diverse methods and facets of communication in the metaverse, from interpersonal relationships to health communication, and from collaboration in the workplace to social interaction in educational contexts. More specifically, the book analyses the profound interplay between the metaverse and the larger communicative context in which it is entrenched. In this manner, the work concentrates on the factors underlying its origins, development, actualization, and popularity, as well as the fundamental discords, uncertainties, and dangers that can have serious consequences on both society and the individual. Explores diverse methods of communication in the metaverse, from interpersonal relationships to health communication; Analyses the interplay between the metaverse and the larger communicative context in which it is entrenched; Concentrates on the metaverse’s popularity and potential as well as the discords and dangers it presents.
    DOI: 10.1007/978-3-031-63485-7
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  • 58
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    Sustainability and Global Challenges : Analysis by Mathematics of Uncertainty (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031617706
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 278 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: Intelligent Systems Reference Library 256
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Environmental sciences
    Kurzfassung: 1. Preliminaries -- 2. Sustainability and Artificial Intelligence: Analysis Using Mathematics of Uncertainty -- 3. Sustainable Goals in Combating Human Trafficking: Analysis by Mathematics of Uncertainty -- 4. Climate Change -- 5. Modern Slavery -- 6. Health Status and Psychological Issues of Human Trafficking Victims -- 7. Human Trafficking Routes and Fuzzy Graphs -- 8. Mental Health and Homelessness -- 9. Terrorism: Interpol Global Policing Goals and SDGs -- 10. Global Hunger -- 11. Biodiversity and Extinction -- 12. Global Poverty -- 13. Domestic Violence.
    Kurzfassung: This book focuses on the relationship between Artificial Intelligence (AI) and the Sustainable Development Goals (SDGs). One of the most important issues the world is facing is sustainability. All members of the United Nations adopted Agenda 2030 and the Sustainable Development Goals. Associated with the SDGs are many serious global problems. These problems include climate change, global poverty, global hunger, human trafficking, homelessness, biodiversity, extinction, and terrorism. The author’s purpose is to develop a textbook concerning the SDGs and how they relate to these problems. A recent issue has emerged. That is Artificial Intelligence. AI has tremendous potential to do both good and harm. The book is designed in such a way that it can be used as an undergraduate textbook on sustainability. Consequently, the mathematics involved is kept at a reasonable level. One of the author’s goals is to prepare the reader to further their study of global issues. In particular, to provide them the background needed to examine the three books in the Springer Series Studies in Systems, Decision and Control, volumes 299, 353, and 391. Exercises are provided in the text as well as an instructor's manual. Some topics examined in the book include country achievement of the SDGs, the relationship between human trafficking and the SDGs, climate change, and global problems mentioned above.
    DOI: 10.1007/978-3-031-61770-6
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    Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031630538
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 297 p. 83 illus., 39 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1163
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: -- 1. Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Calibration Using metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?.
    Kurzfassung: This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation concepts will appreciate that the techniques discussed are beyond simple theoretical tools because they have been adapted to solve significant problems that commonly arise in engineering areas.
    DOI: 10.1007/978-3-031-63053-8
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    Business Data Ethics : Emerging Models for Governing AI and Advanced Analytics (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031214912
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 101 p. 13 illus., 12 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: SpringerBriefs in Law
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Information technology ; Mass media ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Business ethics. ; Corporate governance.
    Kurzfassung: 1. What is AI Ethics Management and Why Does it Matter? -- 2. AI Can Injure People and Damage Business Reputation -- 3. Why Companies Pursue AI Ethics Management -- 4. How to Draw Substantive Lines Between Ethical, and Unethical, Uses of AI -- 5. Management Structures and Processes for Achieving Responsible and Ethical AI -- 6. The Next Stage: AI for the Social Good -- 7. Conclusion.
    Kurzfassung: This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. The authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them.
    Anmerkung: Open Access
    DOI: 10.1007/978-3-031-21491-2
    URL: kostenfrei
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    From Automated to Autonomous Driving : A Transnational Research History on Pioneers, Artifacts and Technological Change (1950-2000) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031498817
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 307 p. 73 illus., 43 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Archimedes, New Studies in the History and Philosophy of Science and Technology 70
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    Schlagwort(e): Science ; Robotics. ; Automotive engineering. ; Artificial intelligence. ; Computer vision.
    Kurzfassung: Acknowledgements -- Chapter 1. Introduction -- Chapter 2. History of the research on vehicle automation in the United States -- Chapter 3. History of the research on vehicle automation in Japan -- Chapter 4. History of the research on vehicle automation in Europe -- Chapter 5. Findings of the inquiry -- Chapter 6. Timeline with firsts, milestones and shifts -- Index.
    Kurzfassung: This book presents the most important milestones of the research on automated and autonomous driving in the United States, Japan and Europe throughout five decades (1950-2000). Drawing on sources from the automotive industry, electrical engineering, the robotics and AI-domain and military institutions, it retraces the transition from the guidance-cable approach to vehicle-based sensor and vision systems. Giving a detailed overview of the technical concepts, artefacts, research vehicles and robots, the book presents the transnational engineering efforts that started long before Silicon Valley entered the field. In addition, the book also uniquely details the role of the military in the domain of vehicle automation. This all ensures the book is of great interest to historians of technology, practitioners in engineering disciplines, scholars working in mobility studies, journalists, and political decision makers.
    DOI: 10.1007/978-3-031-49881-7
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    Fuzzy Cognitive Maps : A Tool for the Modeling and Simulation of Processes and Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031379598
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 133 p. 33 illus., 6 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Fuzziness and Soft Computing 427
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Introduction to Fuzzy Cognitive Maps -- Systemic Relationships Between Regional Sustainability and Waste Management -- Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model -- Rethinking the Set of Concepts - Applying Expert Analysis by the Workshop Method -- Model Reduction Methods -- Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series -- Behavioral Analysis of Fuzzy Cognitive Maps -- Fuzzy Cognitive Maps: Mathematical Challenges -- Dynamics of Classical Fuzzy Cognitive Maps -- Dynamics of Fuzzy Cognitive Maps with Uncertain Weights.
    Kurzfassung: This book is considered as a monograph but also as a potential textbook for graduate students, focusing on the application of FCMs for modelling and analysing the behaviour of multicomponent systems. In the last two decades, no monograph or textbook has been published on the topic Fuzzy Cognitive Maps (FCM), so this new book is definitely filling a gap in the literature of computational intelligence. The book is built up didactically, the novel results in the field being presented in the way of starting with two real-life case studies, one in the area of waste management, while the other one in modelling bank management systems. In both cases, the book starts with explaining the applied problem and then presenting how the model construction is done and what problems emerge when attempts are made for applying directly earlier results on FCM modelling. In the first case study, the problem of the oversimplification leads to inadequacy of the model, and then it is shown how new, much finer models can be built up based on expert domain knowledge. Then, the new problem of losing transparency and interpretability emerges, and as a solution, a new algorithm family is proposed that reduces FCMs to fewer components, while preserving the essential characteristics of the original model. The second case study raises the problems of stability and sensitivity of FCMs, especially, considering that expert knowledge is often uncertain and subjective. The new results summarised in the book target the questions of how to ascertain whether an FCM is converging to one or several fixed point attractors, whether there is a bifurcation when parameters are changing, etc. Both problems deal with the ultimate question whether the system modelled is stable and sustainable.
    DOI: 10.1007/978-3-031-37959-8
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    Decision Making in Healthcare Systems (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031467356
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 442 p. 42 illus., 31 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Systems, Decision and Control 513
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    Schlagwort(e): Control engineering. ; Artificial intelligence.
    Kurzfassung: This book chooses the topic which is due to the editors' experience in modeling projects in healthcare systems. Also, the transfer of experiences is the reason why mathematical modeling and decision making in the field of health are not given much attention. To this end, the new aspect of this book is the lack of reference needed to carry out projects in the field of health for researchers whose main expertise is not modeling. Students of health, mathematics, management, and industrial engineering fields are in the direct readership with this book. Different projects in the field of healthcare systems can use the topics presented in different chapters mentioned in this book.
    DOI: 10.1007/978-3-031-46735-6
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477218
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 885 p. 329 illus., 248 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 822
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Robotics. ; Automation.
    Kurzfassung: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47721-8
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    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Volume 4 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031430091
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VII, 342 p. 244 illus., 171 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1117
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Kurzfassung: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.
    Kurzfassung: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
    DOI: 10.1007/978-3-031-43009-1
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    Intelligent Systems, Business, and Innovation Research (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031368950
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 978 p. 252 illus., 218 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Systems, Decision and Control 489
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering ; Engineering mathematics.
    Kurzfassung: 1.Universal Adversarial Perturbation -- Automated Environmental Mapping with Behavior Trees -- Multi-objective Automatic Clustering with Gene Rearrangement -- Impact of immersive technology and virtual work environment, on innovative work behaviour -- Innovation capability and the relationship between entrepreneurial resources and micro-business performance. -- Impact of Cloud Computing as a digital technology on SMEs sustainability -- Digital innovation and agri-business -- The Usage of Artificial Intelligence in management process -- Artificial Intelligence to Human Resources Management -- others.(Green Finance, Digital Finance, and their challenges on traditional businesses -- Artificial Intelligence and Public Governance: citizens perspective in the context of a developing nation -- Fintech Innovations and the potential for green investment -- Blockchains, tokens and entrepreneurship).
    Kurzfassung: Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn from, and adapt to their environment, to perform tasks that would typically require human intelligence. Business and innovation research is an interdisciplinary field that examines how organizations can create, develop, and implement new ideas, products, and services. This can include areas such as organizational behaviour, strategic management, and marketing. The goal of business and innovation research is to understand how organizations can foster an environment that encourages creativity and innovation, and how they can develop and implement new ideas in a way that leads to success. Intelligent Systems, Business and Innovation Research is a research area that brings together these two fields to study the use of intelligent systems and technologies in the business context to drive innovation, improve operational efficiency and effectiveness of the organization. The book aims to understand how intelligent systems can be used in business applications, how to design and implement them, how to manage the associated challenges, and how to leverage them to foster innovation, create new business models, and gain competitive advantage. It offers guidance on how to navigate potential conflicts and challenges that may arise during multidisciplinary research in areas such as Industry 4.0, Internet of Things, modern machine learning, software agent applications, and data science. The book focuses on the various fields in which intelligent systems play a critical role in enabling the development of advanced technologies that can perform tasks that would typically require human intelligence. For example, in smart/control systems, intelligent algorithms can be used to optimize the performance of machines and devices, while in cyber security, they can be used to protect networks and data from cyber-attacks. In bioinformatics, intelligent systems can be used to analyse large amounts of biological data, while in virtual reality and robotics, they can be used to create realistic and responsive simulations and automatons. Additionally, the book also highlights the rapidly advancing theoretical foundations of fuzzy sets, mathematical logic, and non-classical logic. These are important theoretical frameworks for the development of intelligent systems, as they provide the foundation for the representation and manipulation of uncertainty, complexity, and imprecision. These theoretical foundations are essential in the development of intelligent systems that can make decisions and perform tasks in uncertain, complex, and dynamic environments.
    DOI: 10.1007/978-3-031-36895-0
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    Artificial Intelligence, Data Science and Applications : ICAISE’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031485732
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXI, 616 p. 261 illus., 219 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 838
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    Schlagwort(e): Computational intelligence. ; Engineering ; Artificial intelligence.
    Kurzfassung: Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel -- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- Classification algorithms implementation for fire prevention data on multiple wireless node sensors -- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- Intrusion Detection in Software-Defined Networking using Machine Learning Models -- Neural Network for link Prediction in social network -- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems -- YOLO-based Approach for Intelligent Apple Crop Health Assessment -- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.
    Kurzfassung: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
    DOI: 10.1007/978-3-031-48573-2
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  • 68
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    Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479090
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 226 p. 110 illus., 107 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Learning and Analytics in Intelligent Systems 35
    Paralleltitel: Erscheint auch als Machine learning applications for intelligent energy management
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    Schlagwort(e): Computational intelligence. ; Electrical engineering. ; Artificial intelligence. ; Energy policy. ; Energy and state.
    Kurzfassung: AI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings.
    Kurzfassung: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
    DOI: 10.1007/978-3-031-47909-0
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  • 69
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    When Robots Hug (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031508035
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 96 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Science and Fiction
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Fiction. ; Artificial intelligence. ; Telecommunication. ; User interfaces (Computer systems). ; Human-computer interaction. ; Cooperating objects (Computer systems).
    Kurzfassung: Introduction -- The DARPA Dilemma -- Scattered Avatars -- Topsy Turing -- Fractured Memories -- Artificial Neurogenesis -- The Assimilation -- The Collective Singing the ‘I Can’t Decrypt Them’ Blues -- SANDI’s Environment -- Chatbot Lydia -- Asimov’s Failure -- The Hackers get Hacked -- Dangerous Liaisons -- SANDI’s Dilemma -- Dead. Yet Alive -- Answers at Last -- Preparing to Bring them Home -- The Collection Process -- The Final Preparations -- The Integration Begins -- The Integration of MAXWELL -- The Integration of ISAAC -- The Integration of SANDI -- The Integration of ELYSE -- When Robots Hug -- The Science Behind the Novel -- Conclusion.
    Kurzfassung: By 2027, it had been seven years since the scientists’ sea-changing research on artificial psychology and robotics. The work debuted around the same time as Large Language Model Chatbots, and the power of the integration of the two technologies put many industries in a tailspin. The commercial and defense industries especially were still scrambling to regulate their use in research and universities. The sought-after scientists signed with DARPA to build reliable and secure AI entities, but the agency grew fearful of the technology’s power and ultimately decided it was too dangerous to bring to market and demanded the scientists destroy the work. The researchers couldn’t bring themselves to discard 20 years of research, so instead sent the entities to various research labs around the world. But unbeknownst to them, each AI-entity embraced its new home, growing, adapting, evolving, and ultimately connecting beyond what the researchers could envision. In the end, as the scientists catch up to each one, they realize the entities have discovered a very human means of interacting: the power of physical contact; and not physical contact between humans and technology, but physical contact between robotic entities. And with this discovery, the entities join forces to only grow stronger. This development ushers in a new paradigm where the difference between AI-entities and human entities becomes less and less discernible. All the AI and robotic science featured in the book is real; the story line is fictional, but with how fast innovation moves, it’s not hard to envision.
    DOI: 10.1007/978-3-031-50803-5
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    Recent Advances in Technology Research and Education : Selected Papers of the 20th International Conference on Global Research and Education Inter-Academia (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031544507
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 330 p. 191 illus., 63 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 939
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Properties of Vacuum-Evaporated Metal Halide Perovskite Absorbers on Planar and Nanotextured Silicon Substrates -- Spin relaxation in GaAs/AlGaAs coupled quantum wells -- Tritium Release Behavior of Biphasic Lithium Ceramic with Low Li4SiO4 Content -- Synthesis and characterization of functionalized zinc phthalocyanine-natural polymer systems -- Study of the phase changes in ZnS-based phosphors crystal structure impact on their radioluminescent performances -- Analysis of the Resistance of Silicon Nanoscale Structures Highly Doped in Different Configurations -- Study of p-n junctions created by laser implantation of In in semi-insulating p-CdTe:Cl -- Spectroscopic studies of high performance CdTe-based Schottky diode X/γ-ray sensors -- Comparative Evaluation of Electrical Properties of Carbon Nanotube Networks Deposited on CMOS-Compatible Platform -- Dielectric SiO2 sol-gel coatings for microelectronics.
    Kurzfassung: This book presents the 20th edition of the Inter-Academia Conference which aims to be a valuable resource for academic institutions in search for novel approaches for a global education, for industry partners exploring new fundamental research ideas, for government bodies seeking international projects that promote sustainable growth, and most certainly for the global scientific community, more and more invested in the multi-disciplinarity of modern research. Interdisciplinary research collaboration is crucial for solving many pressing issues and challenges facing society today. Bringing together researchers and educators from different disciplines allows a more holistic understanding of complex problems, providing also the opportunity for new learning and for collaboration on complex projects. Beyond its scientific merits and value, Inter-Academia also promotes a culture of intellectual diversity, innovative thinking, and global perspective that can foster breakthrough discoveries, unexpected advancements in research, and, last but not least, a sense of belonging to a global community. Being established in 2002, the Inter-Academia Community currently gathers researchers from 14 leading Universities in Eastern and Central Europe, together with Shizuoka University, in Japan. As such, the Inter-Academia Community serves as a strong bond across continents, allowing the development of a number of global projects for student and researcher mobility, with a significant impact on the broader scientific community. The peer-reviewed papers included in this book hopefully stimulate further interactions and collaborations covering both fundamental and applied research, with benefits for the global society.
    DOI: 10.1007/978-3-031-54450-7
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    Advances in Real-Time Intelligent Systems : Real-Time Intelligent Systems 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031558481
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 362 p. 157 illus., 134 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 950
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: The current information society is transitioning to an intelligent society where real-world and real-data applications have a profound influence. Real-time computing has an enormous impact on the future information society. Unimaginable applications have been emerging in real-time applications in the last two years. Logical reasoning and inference-making activities by machines have become a reality. Complex and heterogeneous data are being processed and infused into machine intelligence, bringing machine intelligence equal to human intelligence. Real-time data and real-time intelligence are the crux of the current research. This book of 41 papers in real-time intelligent systems addresses various issues ranging from real-time algorithms to various applications in real-time intelligence. The contributions of this book will mark a significant impact in the near-future research in real-time intelligence.
    DOI: 10.1007/978-3-031-55848-1
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    Proceedings of ELM 2022 : Theory, Algorithms and Applications (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031550560
    Sprache: Englisch
    Seiten: 1 Online-Ressource(V, 81 p. 32 illus., 31 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Proceedings in Adaptation, Learning and Optimization 18
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Application of ELM model to the motion detection of vehicles under moving background -- Distributed memory-efficient algorithm for Extreme Learning Machines based on Spark -- Does streaming affect video game popularity? -- Massive Offline Signature Forgery Detection with Extreme Learning Machines -- Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification.
    Kurzfassung: This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).
    DOI: 10.1007/978-3-031-55056-0
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    Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication : MDCWC 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479427
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIII, 631 p. 340 illus., 252 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Signals and Communication Technology
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Wireless communication systems. ; Mobile communication systems.
    Kurzfassung: Part 1: Machine Learning, Deep Learning and Computational Intelligence -- Chapter 1. A novel hierarchical clustering technique to analyse style and content factorization during image recognition -- Chapter 2. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech -- Chapter 3. Metaheuristics Feature Selection Algorithms for Identification and Classification of Mango Pests Diseases -- Chapter 4. An Integrated Optimization Technique with SVM for Feature Selection -- Chapter 5. A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing Data mining -- Chapter 6. Generating Synthetic Text Data for Improving Class Balance in Personality Prediction -- Chapter 7. CPSNet: Channel Pixel Spatial Feature Fusion Network for Image Dehazing -- Chapter 8. ATCBBC: A novel optimizer for neural network Architectures -- Chapter 9. Application of Dempster-Shafer Theory in Sensor Data Fusion -- Chapter 10.Examining Ant Colony Algorithm with The Cat Swarm Algorithm to Improve Energy Efficiency -- Chapter 11. Machine Learning based Online Visual Tracking with Multi-featured Adaptive Kernal Correlation filter -- Part 2: Wireless Communication -- Chapter 12. Integrating long-short term memory and particle swarm optimization for intrusion detection in 5G technologies -- Chapter 13. Performance Analysis of Polar Decoding Using Linear Code Mapping with Feedback Based Ann Architecture -- Chapter 14. Packet Classification Using Improved Random Forest Algorithm -- Chapter 15. A Machine Learning Perspective of optimal data transmission in Wireless Sensor Networks (WSN) -- Chapter 16. Blockchain and IPFS based solution for KYC -- Chapter 17. Analysis and Comparison of BER Performance of OFDM-IM under various fading channels using Conventional Detectors -- Chapter 18. A Survey of Non-Orthogonal Multiple Access for Internet of Things and Future Wireless Networks -- Chapter 19. Improved 3D Wireless Indoor Localization with Deep Learning Algorithms -- Chapter 20. Implementing Machine Learning for design and evaluation of Antenna Parameters -- Chapter 21. A MIMO dual mode homogenous OFDM IM system for next-generation communications -- Chapter 22. Probability Boosted Regression for Intrusion Detection in Cyber active Space -- Part 3: Mobile data application -- Chapter 23. Surface Water-body Extraction for Landsat-8 (OLI) Imagery using Water-Indices Methods and SCM Techniques -- Chapter 24. Automated Age-related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT -- Chapter 25. Traffic Light Simulation Using ALP -- Chapter 26. DNN-ILD: A Transfer Learning-based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images -- Chapter 27. Image Manipulation Detection using Augmentation and Convolutional Neural Networks -- Chapter 28. Smart Women Safety Solution with Alert System Using Machine Learning Approach -- Chapter 29. Cyberbullying Detection Using BILSTM Model -- Chapter 30. Smart Agriculture using Internet of Things -- Chapter 31. Breast Cancer Detection from Mammograms using Deep Learning and Bio-Inspired Optimization Algorithm -- Chapter 32. Detection of Echinoderms Underwater using Deep Learning Network -- Chapter 33. Malaria Parasite Detection Using Deep Learning -- Chapter 34. FiltDeepNet: Architecture for Covid Detection based on Chest X-ray Images -- Chapter 35. Novel approaches to Automatic License Plate Reading (ALPR) -- Chapter 36. Crop Prediction Expert System with Ensemble Machine Learning Technique -- Chapter 37. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection -- Chapter 38. Classifiers For Sentiment Analysis of Youtube Comments - A Comparative Study -- Chapter 39. Traffic Monitoring System Detecting Overspeed and Accidents from Video Input using OpenCV and Digital Image Processing -- Chapter 40. An experimental comparative analysis of human abnormal action identification on “SAIAZ” video dataset using SVM, ResNet50, and LSTM model -- Chapter 41. Comparative study on malicious URL using classifiers and boosting algorithms -- Chapter 42. Automation in Natural Rubber Latex Harvesting Field: A Review -- Chapter 43. Feature Selection based Machine Learning Model for Malware Detection -- Chapter 44. Application of Machine learning algorithm for prediction of Diabetes and Heart diseases -- Chapter 45. Damage Detection on Historical Structure using Image Processing -- Chapter 46. Eye Disease Classification Using VGG-19 Architecture -- Chapter 47. Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python -- Chapter 48. Robust Touch Free Palm Vein Sensor Authentication System -- Chapter 49. An Effective Machine Learning-based Malware Detection Approach -- Chapter 50. Exploring The Performance of Various Classification Algorithms for Masked Face Recognition Using Cnn Based Features -- Chapter 51. Chess Game using Assembly Language Programming -- Chapter 52. Deep Artificial neural Network for Software Effort Estimation -- Chapter 53. ‘Legal Owl’, An Application for Machine Generated Legal Aid Using NLP.
    Kurzfassung: This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine learning, Deep learning and Computational intelligence algorithms (b) Wireless communication systems and (c) Mobile data applications. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry. Presents research works in various fields of computational intelligence and machine learning; Discusses results of MDCWC 2023 held at National Institute of Technology Tiruchirappalli, India; Serves as a reference for researchers and practitioners in academia and industry.
    DOI: 10.1007/978-3-031-47942-7
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522581
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 368 p. 82 illus., 70 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 903
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: Comparative study of abrasion resistance in cotton and meta-aramid fabrics for the production of safety garments -- Cybersecurity and cyber defense in the light of new technologies in cyberspace -- NATO/USAF standards in the FAC (by its Spanish acronym), building interoperability from the basic flight schools -- Human capital and per capita income in Ecuador -- Effect of the real wage on the basic family basket in Ecuador -- Evaluation of technical efficiency in segment one of the savings and credit cooperatives in Ecuador for 2016-2021 -- Measurement of innovation capacity in small and medium manufacturing companies -- The adhocracy culture and its impact on innovation in manufacturing companies of the Quito Metropolitan District -- Adjustable polycentric mechanism for external knee joint prosthesis based on the instantaneous center of rotation -- Manufacture of a custom-made AFO orthosis based on abaca nonwoven composite (Musa textilis) and resin -- Application of multicomponent nanoparticles synthesized with Andean blackberry fruit extract (Rubus glaucus) NPs (Ca, Fe, Mg-Rg) for oyster mushrooms (Pleurotus ostreatus) -- Characterization of a bamboo cellulose-activated carbon filament and resin -- Phytoremediation of pharmaceutical mixtures using Chrysopogon zizanioides: A sustainable alternative for removing emerging contaminants from wastewater -- Strength and elongation analysis of a coconut fiber-based nonwoven with potential applications for geotextiles -- Burnout syndrome and its relationship to working schedule: A cross-sectional study among oilfield workers in the Ecuadorian Amazon region -- ECRIF as a strategy to boost EFL students' speaking skills: An exploratory action research approach -- Attitude levels towards multicultural education in primary school teachers from north Lima (Peru) -- Implications of stakeholders on the quality and governance of university higher education: a critical analysis -- School motivation and academic performance in mathematics in primary school students from Pachacamac (Lima, Peru) -- Burnout syndrome in physicians of the surgical hospitalization area of a second-level hospital in the city of Guayaquil -- Evaluating the profiles of preprofessional internships of two University programs in early childhood end elementary education -- The community as a strategy for crime prevention: The experience of “Soñarte” socio-cultural project -- News coverage on the social network Facebook: a systematic review in Scopus from 2018 to 2023 -- Predictors of academic satisfaction through activities with Turnitin -- Effect of the application of pedagogical tools for ethics training in the public accounting program of the Corporación Universitaria Minuto de Dios distance modality -- The mediating effect of academic performance on ChatGPT satisfaction in university students.
    Kurzfassung: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52258-1
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    Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465499
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 503 p. 280 illus., 258 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1126
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: Visualizing the Unseen: Unleashing Knowledge Discovery with Lossless Visualizations -- Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling -- Full High-dimensional Intelligible Learning In 2-D Lossless Visualization Space -- Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization -- Parallel Coordinates for Discovery of Interpretable Machine Learning Models -- Visual Knowledge Discovery with General Line Coordinates -- Unveiling Insights: Empowering AI/ML through Visual Knowledge Discovery.
    Kurzfassung: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens. .
    DOI: 10.1007/978-3-031-46549-9
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    Computing Intelligence in Capital Market (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031577086
    Sprache: Englisch
    Seiten: 1 Online-Ressource(V, 65 p. 19 illus., 13 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1154
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Finance. ; Branding (Marketing).
    Kurzfassung: -- 1. Estimating and Evaluation of International Capital Movements in The Perspective of Corporate Economic Geography. -- 2. Wave Net-TSRS Model for Timeseries Prediction in Finance. -- 3. Integrating Decision Analytics and Advanced Modeling in Financial and Economic Systems through Artificial Intelligence. -- 4. Co-movements between Bitcoin and Gold: Multivariate BEKK-GARCH Models. -- 5. An Approach for backtesting and algorithmic trading with liquidity and Hill Climbing algorithm. -- 6. Unleashing Economic Potential: Exploring the Synergy of Artificial Intelligence and Intelligent Automation.
    Kurzfassung: The book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introduction of algorithms in the financial field has not been an exception to this. In recent years, the growth and development of the financial system have been in sync with the growth of technology. Fintechs were born at the intersection of these two sectors. What happens through the application of computer knowledge in the financial field, or the examination of the efficiency and effectiveness of their use and the interaction and combination of these two fields has been written very infrequently in the majority of books. In Fintech, there are problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are complex and are mapped to NP problems in the field of artificial intelligence. In the last two decades, optimization algorithms, neural networks, and deep learning have been widely applied in many scientific and engineering fields to solve the mentioned problems. The purpose of this book is to provide the reader with the most used artificial intelligence methods for scientific and engineering problems. This book is used by students, scientists, and practitioners in various fields. The chapters are self-explanatory, and the reader can read each one separately. They describe the algorithm used, the chosen problem, and the implementation. In addition, practical examples, comparisons, and experimental results are presented.
    DOI: 10.1007/978-3-031-57708-6
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    Software Engineering and Management: Theory and Application : Volume 16 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031551741
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 238 p. 103 illus., 78 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1137
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: 1. Changing Beauty Industry’s Strategic: Focused on Metaverse and Generation MZ -- 2. ESG news analysis using news big data: Focusing on topic modeling analysis -- 3. Effects of the Perceived Benefit and Innovativeness of Live Commerce on Intention to Use: Focus on Chinese consumers -- 4. A Study on the Effect of Customer Experience on the Intention to Continuously Use Coffee Store Mobile App based on UTAUT Model -- 5. A Study on Parallel Recommender System with Stream Data Using Stochastic Gradient Descent -- 6. Using Incremental Algorithm in Hybrid Recommender System Combined Sentiment Analysis -- 7. A Bottom-Up Generic Probabilistic Building and Enriching approach for knowledge graph using the LDA-based clustering method -- 8. Measuring the Effects of Signal-To-Noise in EEG Emotion Recognition -- 9. Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing -- 10. Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors, etc.
    Kurzfassung: The book reports state of the art results in Software Engineering Research, Management & Applications in both printed and electronic form. SCI (Studies in Computation Intelligence) has grown into the most comprehensive computational intelligence research forum available in the world. This volume published original papers on both theory and practice that address foundations, state of the art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-55174-1
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    Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614750
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 513 p. 311 illus., 249 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Information Systems Engineering and Management 4
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Efficient Detection of Cyberbullying Social Media Platform -- Chapter 2. Securing Cyber-Physical Systems: A Strategic Review. Chapter 3. Advancing Solar Still Efficiency – Pioneering Sustainable Water Solutions -- Chapter 4. An in-Depth Investigation Into Automatic Dubbing leveraging ASR, Machine Translation and Deep Voice 3. Chapter 5. LEWRY Your Smart Home Security Robot -- Chapter 6. Ensemble based Attrition Prediction in Corporate Settings -- Chapter 7. Mitigating Agricultural Challenges: A Comprehensive Study on the Impact of Crop Diseases on Rice Production in India -- Chapter 8. Human Object Interaction: A Survey on Models and their Key Challenges and Potential Applications in Future Fields -- Chapter 9. Streamlining The Bone Fracture Detection using X- ray Imaging and Seamless PACS Data Exchange -- Chapter 10. A Review on Suitability of Vertical Federated Learning in Smart City Platforms -- Chapter 11. Land Cover Classification using Modified U-net : a Robust Approach for Satellite Image Analysis -- Chapter 12. Synergistic Evolution: Pioneering Frontiers of Artificial Intelligence and Robotics in Healthcare -- Chapter 13. Solar Panel Fault Analysis using Regression Models -- Chapter 14. Development of Fuzzy Controlled Five Level Modular Multilevel Converter for Grid Tied PV System -- Chapter 15. Multifaceted Chatbot: A Retrieval Augmented Generation Approach for Intelligent Website Query Handling -- Chapter 16. Intelligent Monitoring and Learning System for Electric Vehicle Charging Stations -- Chapter 17. A Global Three Wheeler Road Freight EV CARGO CART for Value Added Services -- Chapter 18. Android App-oriented Smart Supervision of Water Distribution using Internet of Things -- Chapter 19. Identification of Speech Stream and the Source Localization for Hearing Prosthesis-Driven Healthcare -- Chapter 20. Catalyzing Urban Logistics and Road Safety: Truck Recommendation System and Real-Time Accident Severity Prediction.-....etc.
    Kurzfassung: This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
    DOI: 10.1007/978-3-031-61475-0
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  • 79
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    Recent Advances in Logo Detection Using Machine Learning Paradigms : Theory and Practice (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031598111
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 119 p. 64 illus., 63 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Intelligent Systems Reference Library 255
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Deep Convolutional Neural networks -- Introduction to Logo Detection -- Weakly Supervised Logo Detection Approach.
    Kurzfassung: This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues. This book provides numerous ways that deep learners can use for logo recognition, including: Deep learning-based end-to-end trainable architecture for logo detection Weakly supervised logo recognition approach using attention mechanisms Anchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world images Unsupervised logo detection that takes into account domain-shift issues from synthetic to real-world images Approach for logo detection modelingdomain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem. The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks. The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks. .
    DOI: 10.1007/978-3-031-59811-1
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  • 80
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    Current and Future Trends on Intelligent Technology Adoption : Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614637
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 387 p. 43 illus., 35 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1161
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    Schlagwort(e): Computational intelligence. ; Knowledge management. ; Artificial intelligence.
    Kurzfassung: A Review of the Metaverse in Higher Education Opportunities Challenges and Future Research Agenda -- An Exploratory Study on the Dark Sides of Artificial Intelligence Adoption Privacys Invasion for Intelligent Marketing and Intelligent Services -- Bibliometric Analysis of Electric Vehicle Adoption and Environmental Sustainability Research 2014 to 2024 Trends and Implications -- Unlocking Digital Wallet Adoption Through UTAUT Model Unveiling the Factors Shaping Consumer Decisions -- Environmental Attitude Global Social Responsibility and Digital Literacy Predictors of Green Purchase Intentions among Emerging Adults -- Smart Home Technology Research Landscape A Bibliometric Analysis of Scientific Publications 2014 to 2024 -- Adoption of Artificial Intelligence in Education A Systematic Literature Review.
    Kurzfassung: This book explores current and future trends in adopting intelligent technologies among individuals and organizations. The edited book includes empirical and review studies primarily focusing on these issues. This focus aids scholars in conducting future research in the domain and identifying possible future developments of emerging technologies. The empirical studies in the book utilize recent and advanced analytical techniques for data analysis.
    DOI: 10.1007/978-3-031-61463-7
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  • 81
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    Intelligent Secure Trustable Things (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540493
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIX, 441 p. 212 illus., 192 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1147
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Cooperating objects (Computer systems).
    Kurzfassung: Introduction -- Technology Development -- Industrial Applications.
    Kurzfassung: This open access book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT—Intelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries (EU and Turkey), provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. InSecTT fosters cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europe and cutting-edge research organizations and universities. The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e., smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like airports, trains, ports and the health sector shows their applicability on both high and broad level, going from citizens to European stakeholders. The first part of the book provides an introduction into the main topics of the InSecTT project: How to bring Internet of Things and Artificial Intelligence together to form the Artificial Intelligence of Things, a reference architecture for such kind of systems and how to develop trustworthy, ethical AI systems. In the second part, we show the development of essential technologies for creating trustworthy AIoT systems. The third part of the book is composed of a broad variety of examples on how to design, develop and validate trustworthy AIoT systems for industrial applications (including automotive, avionics, smart infrastructure, health care, manufacturing and railway).
    Anmerkung: Open Access
    DOI: 10.1007/978-3-031-54049-3
    URL: kostenfrei
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  • 82
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    Explainable Uncertain Rule-Based Fuzzy Systems (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031353789
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIII, 580 p. 257 illus., 231 illus. in color.)
    Ausgabe: 3rd ed. 2024.
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Telecommunication. ; Artificial intelligence. ; Neural networks (Computer science).
    Kurzfassung: Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
    Kurzfassung: The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material.
    DOI: 10.1007/978-3-031-35378-9
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  • 83
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    Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability : AI for IoT and Health Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031527876
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 191 p. 103 illus., 90 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Engineering Cyber-Physical Systems and Critical Infrastructures 8
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Medical sciences. ; Biomedical engineering.
    Kurzfassung: Drug-Drug Interaction, Interaction Type And Resulting Severity Forecasting By Machine Learning-Based Approaches -- Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare -- CNN-Based Model for Skin Diseases Classification -- Using explainable artificial intelligence and knowledge graph to explain sentiment analysis of COVID-19 post on the Twitter -- An IoT-based Telemedicine System for the Rural People of Bangladesh -- Comparison of Predicting Regional Mortalities Using Machine Learning Models -- Benign and Malignant Cancer Prediction using Deep Learning and Generating Pathologist Diagnostic Report -- An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading -- Covid-19 Detection based on Chest X-ray images us-ing Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks -- A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney Diseases -- Intelligent Information Systems in Healthcare sector: Review Study -- Design of a Blockchain-based Patient Record Tracking System -- IoT Networks and Online Image Processing in IMU-based Gait Analysis -- Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application.
    Kurzfassung: IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc. .
    DOI: 10.1007/978-3-031-52787-6
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  • 84
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    Biologically Inspired Cognitive Architectures 2023 : Proceedings of the 14th Annual Meeting of the BICA Society (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031503818
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIII, 1048 p. 375 illus., 275 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1130
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Neural networks (Computer science).
    Kurzfassung: The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
    DOI: 10.1007/978-3-031-50381-8
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  • 85
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    Advances in Intelligent System and Smart Technologies : Proceedings of I2ST’23 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031476723
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXII, 410 p. 195 illus., 164 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 826
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: This book is a collection of high-quality peer-reviewed research papers presented at The International Conference on Intelligent Systems and Smart Technologies (I2ST’23) held at the Faculty of Science and Technology of Hassan First University, Morocco, on January 17–18, 2023. I2ST'23 is a forum for presenting new advances and research results in the fields of information, communication, and smart technologies. The book discusses significant issues relating to machine learning, smart technologies, and data analytics. The main and distinctive topics covered are: I) AI& Intelligent, II) Systems Smart Technologies, III) Communications and Networking, IV) Software Engineering & Web Applications, V) Information Technology, and VI) Software Engineering & Web Applications.
    DOI: 10.1007/978-3-031-47672-3
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  • 86
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    Artificial Intelligence, Data Science and Applications : ICAISE’2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031484650
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 571 p. 256 illus., 202 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 837
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    Schlagwort(e): Computational intelligence. ; Engineering ; Artificial intelligence.
    Kurzfassung: Sustainability in Internet of Things: Insights & Scope -- Machine Learning in Finance Case of Credit Scoring -- Prediction of coefficient of friction and wear rate of Stellite 6 coatings manufactured by LMD using Machine Learning -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- A detailed study on the Game of Life -- A decision-making model for selecting solutions and improvement actions using fuzzy logic -- Sensored Brushless DC motor control based on an Artificial Neural Network controller -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- Improving the Resolution of Images using Super-Resolution Generative Adversarial Networks -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence.
    Kurzfassung: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
    DOI: 10.1007/978-3-031-48465-0
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  • 87
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    Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031474576
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 638 p. 290 illus., 240 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Lecture Notes in Networks and Systems 815
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.
    DOI: 10.1007/978-3-031-47457-6
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  • 88
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    Computational Intelligence (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031462214
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 245 p. 89 illus., 55 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Studies in Computational Intelligence 1119
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: This book includes a set of selected revised and extended versions of the best papers presented at the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and on the other hand to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current field of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
    DOI: 10.1007/978-3-031-46221-4
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  • 89
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    Proceedings of the Future Technologies Conference (FTC) 2023, Volume 4 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031474484
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 502 p. 164 illus., 148 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Lecture Notes in Networks and Systems 816
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.
    DOI: 10.1007/978-3-031-47448-4
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  • 90
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    Dual-Control-Design : TP and TS Fuzzy Model Transformation Based Control Optimisation and Design (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031445750
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXI, 249 p. 71 illus., 51 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Topics in Intelligent Engineering and Informatics 17
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Artificial intelligence.
    Kurzfassung: Key Messages of the Book -- Outline of the Book -- Notations and Basic Concepts -- Discretization via Random and Rectangular Grids Leading to Bi-Linear Approximations -- TP Grid Structure of Functions -- TP Model Transformation -- TS Fuzzy Model Transformation.
    Kurzfassung: The TP and TS Fuzzy model transformation based control design has revolutionized the field of control design by introducing a highly effective approach. Through the TP model transformation, it has become evident that the design of controllers and observers, as well as the effectiveness of applied LMIs, are greatly influenced by the shape of the antecedent Fuzzy sets and the number and location of the consequent systems. Furthermore, the TP model transformation has revealed that the sensitivity of controller and observer design differs in nature. This implies that the overseer and controller design require different TS Fuzzy model representations of the system at hand. This book offers a comprehensive exploration of this phenomenon. The book introduces several new theoretical advancements in the TP or TS Fuzzy model transformation based control design framework. It presents a complete framework for TP and TS Fuzzy model transformation and offers various tools based on this approach to enhance control design effectiveness. The book introduces novel theoretical concepts, such as interpolation between alternative TS Fuzzy model representations, which leads to a new optimization framework. It also explores methods to achieve further complexity reduction beyond rank minimization. Additionally, the book addresses the execution of TS Fuzzy model transformation for large-sized problems and demonstrates how to reinforce various properties of antecedent Fuzzy sets through manipulation. Practical hints and guidance for control design is provided throughout the book, with examples illustrating the application of novel solutions. Matlab codes are also included to facilitate the implementation of the proposed methods.
    DOI: 10.1007/978-3-031-44575-0
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  • 91
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    Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23) : Volume 2 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031437922
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 348 p. 134 illus., 93 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Lecture Notes in Networks and Systems 777
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Explainable Document Classification via Pattern Structures -- Bayesian belief network for association between clusters of social media users with similar personality traits profiles and color characteristics of their avatar images -- Algebraic Bayesian Networks: the Generation of the Network Canonical Representation -- Quantification of Localization Uncertainty in One-stage Object Detection -- Automated Discovery of Direct Speech to Increase Quality and Battery Saving in Telephony.
    Kurzfassung: This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
    DOI: 10.1007/978-3-031-43792-2
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  • 92
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    Artificial Intelligence and Industrial Applications : Algorithms, Techniques, and Engineering Applications (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031435201
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXII, 472 p. 261 illus., 197 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Lecture Notes in Networks and Systems 772
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: Learning to Irrigate - A model of the plant water balance -- Free and Unfree Weed Classification in Young Palm Oil Crops using Artificial Neural Network -- A Method for Bengali Author Detection using State of the Arts Supervised Machine Learning Classifiers -- Robust State of Charge Estimation and Simulation of Lithium-ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm -- Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review -- Contribution to Solving the Cover Set Scheduling Problem and Maximizing Wireless Sensor Networks Lifetime using an Adapted Genetic Algorithm -- Comparative Study between Double Vector Quantization Using SOM and GMM for Prediction Time Series Problem.
    Kurzfassung: Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.
    DOI: 10.1007/978-3-031-43520-1
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  • 93
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    Fuzzy Information Processing 2023 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031467783
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 358 p. 125 illus., 93 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Lecture Notes in Networks and Systems 751
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
    Kurzfassung: This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.
    DOI: 10.1007/978-3-031-46778-3
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  • 94
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    Artificial Intelligence and Normative Challenges : International and Comparative Legal Perspectives (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031410819
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 279 p. 5 illus., 4 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Law, Governance and Technology Series 59
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    Paralleltitel: Erscheint auch als Artificial intelligence and normative challenges
    Schlagwort(e): Information technology ; Mass media ; Human rights. ; Artificial intelligence. ; Intelligence artificielle - Aspect moral
    Kurzfassung: Introduction -- Part I - AI and Questions of Personhood and Ethics -- The Peculium of the Robot: Artificial Intelligence and Slave Law -- Legal Personhood for Autonomous AI: Practical Consequences in Private Law -- Artificial Intelligence’s Black box: Posing New Ethical and Legal Challenges on Modern Societies -- Part II - AI and Civil Liability -- The role of the autonomous machines at the conclusion of a contract: Contractual responsibility according to current rules of private law and prospects -- Understanding the risks of Artificial Intelligence as a precondition for sound liability regulation -- Part III - AI and Issues of Responsibility and Adjudication -- Attributing Conduct of Autonomous Software Agents with Legal Personality under International Law on State Responsibility -- Algorithmic criminal justice: Is it just a science fiction plot idea? -- Part IV - Intellectual Property Protection and Patentability of AI -- The patentability of AI-related subject matter according to the EPC as implemented by the EPO -- International perspectives on regulatory frameworks: AI through the lens of patent law -- Part V - AI and Human Rights -- What role for social rights during the leap to post or “enhanced” humanism? -- Artificial Intelligence vs Data Protection: How the GDPR Can Help to Develop a Precautionary Regulatory Approach to AI? -- Part VI - AI and Jus ad Bellum-Jus in Bello Questions -- The Use of AI Weapons in Outer Space: Regulatory Challenges -- Performance or explainability? A law of Armed Conflict Perspective.
    Kurzfassung: Artificial intelligence (AI) – both in its current, comparatively limited form and even more so in its potential future forms (such as general and superintelligence) – has raised both concerns and hopes. Its actual and potential consequences are increasingly far-reaching, affecting almost every facet of human life on a collective and individual level: from the use of mobile phones and social media to autonomous weapons, and from the digitalization of knowledge and information to the patentability of AI innovations, unexpected philosophical, ontological, political and legal questions continue to arise. This book offers an insightful and essential guide to the scientific questions that are shaping humanity’s present and future. Presenting a collection of academic essays written by prominent scholars, it addresses the major legal issues concerning AI: its impact on a wide range of human behavior and the general legal response, including questions on AI and legal personhood; responsibility, liability and culpability in the age of AI; the challenges AI poses for intellectual property regimes; human rights challenges; and AI’s impact on jus ad bellum and jus in bello. Given its scope, the book will appeal to researchers, scholars and practitioners seeking a guide to this rapidly transforming landscape. .
    DOI: 10.1007/978-3-031-41081-9
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  • 95
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    The Technological Competence of Arbitrators : A Comparative and International Legal Study (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031116810
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 172 p.)
    Ausgabe: 1st ed. 2023.
    Serie: Special Issue
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    Paralleltitel: Erscheint auch als Fach Gómez, Katia The technological competence of arbitrators
    Schlagwort(e): Mediation. ; Dispute resolution (Law). ; Arbitration (Administrative law). ; Information technology ; Mass media ; Data protection. ; Artificial intelligence. ; Arbitration, mediation & alternative dispute resolution ; LAW / Alternative Dispute Resolution ; LAW / Arbitration, Negotiation, Mediation ; LAW / General Practice ; Legal skills & practice ; Rechtskenntnisse und Rechtspraxis ; Schiedsverfahren, Mediation und alternative Verfahren zur Streitbeilegung
    Kurzfassung: Chapter 1. Introduction -- Chapter 2. What is Digital Competence in the Current International Arbitration Context? -- Chapter 3. Who has to be Digitally Competent in the International Arbitration Context? -- Chapter 4. When do International Arbitrators Need to be Digitally Competent? -- Chapter 5. Where is International Arbitrators’ Digital Competence Regulated? -- Chapter 6. Why is International Arbitrators’ Digital Competence Relevant from a Legal Point of View? -- Chapter 7. Conclusion -- Case List -- Analytical Index. .
    Kurzfassung: Arbitration is facing revolutionary changes due to new technologies’ irruption into the entire arbitration proceeding. Wide-ranging technical-legal concepts such as e-discovery, e-hearing, cyber-security protocol, e-deliberations, algorithmic decision-making and digital signing have become part of life. Technology’s impact on arbitration is unlikely to decrease after the COVID crisis; on the contrary, how the arbitration community positions itself vis-à-vis technology will be a key factor in determining arbitration’s future. Faced with this challenging scenario, the book discusses a novel legal topic: arbitrators’ relationship with this increasingly ubiquitous, rapidly-changing technology. This innovative book applies journalism’s “5 W questions” to the underexplored issue of arbitrators’ digital competence. It reaches a workable definition of what digital competence in the current arbitration context is, also providing answers to the essential question of why arbitrators’ digital competence is relevant from legal and financial points of view. Attention then shifts to who, with reflections on arbitrators working in a highly technological context and clarification of their relationship with other legal and non-legal actors. The book equally offers an in-depth comparative study of the question of where arbitrators’ technological competence is regulated, with critical analysis of soft and hard law provisions that may impose a digital competence duty. Finally, the book specifies when arbitrators need to be digitally competent and develops legal proposals regarding key procedural stages (initial conference, hearings) and legal topics (cybersecurity, data protection). The first study to scrutinise the rapidly changing relationship between arbitrators and technology, the book aims to spark a crucial debate among practitioners and scholars. Academically rigorous and using the latest legal material, it emphasises arbitrators’ needs, rights and duties in our technological age, presenting them alongside carefully selected practical topics. The unprecedented and well-grounded proposals for arbitrators’ digital competence are intended to be a call to action for its broad target audience.
    DOI: 10.1007/978-3-031-11681-0
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  • 96
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    Fuzzy Decision Analysis: Multi Attribute Decision Making Approach (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031447426
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXII, 344 p. 32 illus., 16 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Studies in Computational Intelligence 1121
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Operations research.
    Kurzfassung: Foundations of Decision -- Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment -- The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment -- The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.
    Kurzfassung: Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.
    DOI: 10.1007/978-3-031-44742-6
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  • 97
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    Artificial Intelligence for Societal Issues (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031124198
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 356 p. 161 illus., 122 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Intelligent Systems Reference Library 231
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation -- A Survey on Deep Learning Models to detect Hate Speech and Bullying in Social Media -- A Deep Learning based System to Estimate Crowd and Detect Violence in Videos. .
    Kurzfassung: Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.
    DOI: 10.1007/978-3-031-12419-8
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  • 98
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    Parametrized, Deformed and General Neural Networks (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031430213
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 853 p. 1 illus.)
    Ausgabe: 1st ed. 2023.
    Serie: Studies in Computational Intelligence 1116
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering mathematics. ; Engineering
    Kurzfassung: Abstract ordinary and fractional neural network approximations based on Richard’s curve -- Abstract Multivariate Neural Network Approximation based on Richard’s curve -- Parametrized hyperbolic tangent based Banach space valued basic and fractional neural network approximations -- Parametrized hyperbolic tangent induced Banach space valued multivariate multi layer neural network approximations -- Banach space valued neural network approximation based on a parametrized arctangent sigmoid function -- Parametrized arctangent activated Banach space valued multi layer neural network multivariate approximation -- Banach space valued Ordinary and Fractional neural networks approximations based on the parametrized Gudermannian function -- Parametrized Gudermannian activation function based Banach space valued neural network multivariate approximation -- Banach space valued univariate neural network approximation based on parametrized error activation function -- Banach space valued multivariate multi layer neural network approximation based on parametrized error activation function -- Hyperbolic Tangent Like based univariate Banach space valued neural network approximation -- Banach space valued neural network multivariate approximation based on hyperbolic tangent like activation function -- Banach space valued ordinary and fractional neural network approximations based on q-deformed hyperbolic tangent activation function -- Banach space valued multivariate multi layer neural network approximation based on q-deformed hyperbolic tangent activation function -- Banach space valued multivariate multi layer neural network approximation based on q-deformed and λ-parametrized A-generalized logistic function -- Banach space valued ordinary and fractional neural network approximation based on q-deformed and λ-parametrized A-generalized logistic function -- Banach space valued multivariate multi layer neural network approximation based on q-deformed and λ-parametrized hyperbolic tangent function -- q-Deformed and λ-parametrized hyperbolic tangent based Banach space valued ordinary and fractional neural network approximation -- Banach space valued multivariate multi layer neural network approximation based on q-Deformed and parametrized half hyperbolic tangent -- Banach space valued ordinary and fractional neural network approximation based on q-deformed and β-parametrized half hyperbolic tangent -- General sigmoid relied Banach space valued neural network approximation -- General sigmoid induced Banach space valued neural network multivariate approximation -- Fuzzy basic and fractional general sigmoid function generated neural network approximation -- Multivariate Fuzzy Approximation by Neural Network Operators induced by a general sigmoid function -- Multivariate Fuzzy-Random and stochastic general sigmoid activation function generated Neural Network Approximations -- Voronovskaya type asymptotic expansions for general sigmoid functions induced quasi-interpolation neural network operators -- Multiple general sigmoids activated Banach space valued neural network multivariate approximation -- Quantitative Approximation by Multiple sigmoids KantorovichChoquet quasi-interpolation neural network operators -- Degree of Approximation by Multiple sigmoids KantorovichShilkret quasi-interpolation neural network operators -- Approximation by Neural Networks of Brownian Motion -- Neural Networks Approximation of Time Separating Stochastic Processes -- Fractional Calculus between Banach spaces together with Ostrowski and Gr¨uss kind of inequalities -- Sequential Fractional Calculus between Banach spaces and corresponding Ostrowski and Gr¨uss kind of inequalities.
    Kurzfassung: In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less neurons than the original one. The asymmetry of the brain is best expressed by deformed activation functions. Along with a great variety of activation functions, general activation functions are also engaged. Thus, in this book, all presented is original work by the author given at a very general level to cover a maximum number of different kinds of neural networks: giving ordinary, fractional, fuzzy and stochastic approximations. It presents here univariate, fractional and multivariate approximations. Iterated sequential multi-layer approximations are also studied. The functions under approximation and neural networks are Banach space valued.
    DOI: 10.1007/978-3-031-43021-3
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  • 99
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    Knowledge Recommendation Systems with Machine Intelligence Algorithms : People and Innovations (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031326967
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 128 p. 51 illus., 11 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Studies in Computational Intelligence 1101
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: 1.Introduction -- 2.Literature review -- 3.Recommending reviewers and experts -- 4.Supporting innovativeness and information sharing -- 5.Selected algorithmic developments -- 6.Knowledge recommendation in practice -- 7.Conclusions.
    Kurzfassung: Knowledge recommendation is an timely subject that is encountered frequently in research and information services. A compelling and urgent need exists for such systems: the modern economy is in dire need of highly-skilled professionals, researchers, and innovators, who create opportunities to gain competitive advantage and assist in the management of financial resources and available goods, as well as conducting fundamental and applied research more effectively. This book takes readers on a journey into the world of knowledge recommendation, and of systems of knowledge recommendation that use machine intelligence algorithms. It illustrates knowledge recommendation using two examples. The first is the recommendation of reviewers and experts who can evaluate manuscripts of academic articles, or of research and development project proposals. The second is innovation support, which involves bringing science and business together by recommending information that pertains to innovations, projects, prospective partners, experts, and conferences meaningfully. The book also describes the selection of the algorithms that transform data into information and then into knowledge, which is then used in the information systems. More specifically, recommendation and information extraction algorithms are used to acquire data, classify publications, identify (disambiguate) their authors, extract keywords, evaluate whether enterprises are innovative, and recommend knowledge. This book comprises original work and is unique in many ways. The systems and algorithms it presents are informed by contemporary solutions described in the literature - including many compelling, novel, and original aspects. The new and promising directions the book presents, as well as the techniques of machine learning applied to knowledge recommendation, are all original.
    DOI: 10.1007/978-3-031-32696-7
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  • 100
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    Elements of Data Science, Machine Learning, and Artificial Intelligence Using R (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031133398
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIX, 575 p. 162 illus., 156 illus. in color.)
    Ausgabe: 1st ed. 2023.
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Machine learning. ; Data mining.
    Kurzfassung: Introduction -- Introduction to learning from data -- Part 1: General topics -- Prediction models -- Error measures -- Resampling -- Data types -- Part 2: Core methods -- Maximum Likelihood & Bayesian analysis -- Clustering -- Dimension Reduction -- Classification -- Hypothesis testing -- Linear Regression -- Model Selection -- Part 3: Advanced topics -- Regularization -- Deep neural networks -- Multiple hypothesis testing -- Survival analysis -- Generalization error -- Theoretical foundations -- Conclusion.
    Kurzfassung: In recent years, large amounts of data became available in all areas of science, industry and society. This provides unprecedented opportunities for enhancing our knowledge, and to solve scientific and societal problems. In order to emphasize the importance of this, data have been called the "oil of the 21st Century". Unfortunately, data do usually not reveal information easily, but analysis methods are required to extract it. This is the main task of data science. The textbook provides students with tools they need to analyze complex data using methods from machine learning, artificial intelligence and statistics. These are the main fields comprised by data science. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. This allows the immediate practical application of the learning concepts side-by-side. The book advocates an integration of statistical thinking, computational thinking and mathematical thinking because data science is an interdisciplinary field requiring an understanding of statistics, computer science and mathematics. Furthermore, the book highlights the understanding of the domain knowledge about experiments or processes that generate or produce the data. The goal of the authors is to provide students with a systematic approach to data science that allows a continuation of the learning process beyond the presented topics. Hence, the book enables learning to learn. Main features of the book: - emphasizing the understanding of methods and underlying concepts - integrating statistical thinking, computational thinking and mathematical thinking - highlighting the understanding of the data - exploring the power of visualizations - balancing theoretical and practical presentations - demonstrating the application of methods using R - providing detailed examples and discussions - presenting data science as a complex network Elements of Data Science, Machine Learning and Artificial Intelligence using R presents basic, intermediate and advanced methods for learning from data, culminating into a practical toolbox for a modern data scientist. The comprehensive coverage allows a wide range of usages of the textbook from (advanced) undergraduate to graduate courses. .
    DOI: 10.1007/978-3-031-13339-8
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