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  • BSZ  (369)
  • MPI Ethno. Forsch.  (354)
  • HBZ  (16)
  • DNB
  • English  (381)
  • 2020-2024  (366)
  • 1990-1994  (15)
  • Cham : Springer International Publishing  (359)
  • Cambridge : Polity Press
  • Artificial intelligence.  (298)
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  • 1
    ISBN: 0745615430
    Language: English
    Uniform Title: Histoire de la famille 〈engl.〉
    DDC: 306.8509
    RVK:
    RVK:
    Keywords: Social Sciences ; Familie ; Geschichte
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  • 2
    Book
    Book
    Cambridge : Polity Press
    ISBN: 0745615430
    Language: English
    Uniform Title: Histoire de la famille 〈engl.〉
    Keywords: Families History ; Family ; Familie ; Geschichte ; Familie ; Geschichte
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  • 3
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031530159
    Language: English
    Pages: 1 Online-Ressource(XIII, 257 p.)
    Edition: 1st ed. 2024.
    Series Statement: Philosophy and Politics - Critical Explorations 29
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Political science ; Ethics. ; Political science. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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.
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  • 4
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031557446
    Language: English
    Pages: 1 Online-Ressource(VII, 257 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: The International Library of Ethics, Law and Technology 24
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Technology ; Medical Ethics. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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.
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  • 5
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031456381
    Language: English
    Pages: 1 Online-Ressource(XIX, 275 p. 2 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Technology ; Technology ; Artificial intelligence.
    Abstract: 1. Introduction -- 2. Respect for Humanity -- 3. Mobile Devices and Autonomy: Individual-Level Effects -- 4. The Duty to Promote Digital Minimalism in Ourselves -- 5. The Duty to Promote Digital Minimalism in Others I: Duties of Virtue -- 6. The Duty to Promote Digital Minimalism in Others II: Duties of Right -- 7. The Duty to Promote Digital Minimalism in Group Agents -- 8. Conclusion.
    Abstract: In this open access book, Timothy Aylsworth and Clinton Castro draw on the deep well of Kantian ethics to argue that we have moral duties, both to ourselves and to others, to protect our autonomy from the threat posed by the problematic use of technology. The problematic use of technologies like smartphones threatens our autonomy in a variety of ways, and critics have only begun to appreciate the vast scope of this problem. In the last decade, we have seen a flurry of books making “self-help” arguments about how we could live happier, more fulfilling lives if we were less addicted to our phones. But none of these authors see this issue as one involving a moral duty to protect our autonomy.
    Note: Open Access
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  • 6
    ISBN: 9783031597541
    Language: English
    Pages: 1 Online-Ressource(XXVI, 114 p. 88 illus., 84 illus. in color.)
    Edition: 2nd ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 530
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Electronics. ; Aerospace engineering. ; Astronautics. ; Artificial intelligence. ; Solar system.
    Abstract: 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.
    Abstract: 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.
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  • 7
    ISBN: 9783031479465
    Language: English
    Pages: 1 Online-Ressource(XII, 382 p. 8 illus., 1 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Data Science, Machine Intelligence, and Law 4
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Information technology ; Mass media ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence.
    Abstract: 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.
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  • 8
    ISBN: 9783031430091
    Language: English
    Pages: 1 Online-Ressource(VII, 342 p. 244 illus., 171 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1117
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: 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.
    Abstract: 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.
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  • 9
    ISBN: 9783031476723
    Language: English
    Pages: 1 Online-Ressource(XXII, 410 p. 195 illus., 164 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 826
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: 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.
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  • 10
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031353789
    Language: English
    Pages: 1 Online-Ressource(XXIII, 580 p. 257 illus., 231 illus. in color.)
    Edition: 3rd ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence. ; Neural networks (Computer science).
    Abstract: 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.
    Abstract: 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.
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  • 11
    ISBN: 9783031598111
    Language: English
    Pages: 1 Online-Ressource(XII, 119 p. 64 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 255
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Deep Convolutional Neural networks -- Introduction to Logo Detection -- Weakly Supervised Logo Detection Approach.
    Abstract: 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. .
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  • 12
    ISBN: 9783031214912
    Language: English
    Pages: 1 Online-Ressource(XVII, 101 p. 13 illus., 12 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Law
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Information technology ; Mass media ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Business ethics. ; Corporate governance.
    Abstract: 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.
    Abstract: 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.
    Note: Open Access
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  • 13
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031510670
    Language: English
    Pages: 1 Online-Ressource(X, 185 p.)
    Edition: 1st ed. 2024.
    Series Statement: Law, Governance and Technology Series 64
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Information technology ; Mass media ; Artificial intelligence. ; Sustainability.
    Abstract: 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.
    Abstract: 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.
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  • 14
    ISBN: 9783031467356
    Language: English
    Pages: 1 Online-Ressource(VI, 442 p. 42 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 513
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Artificial intelligence.
    Abstract: 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.
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  • 15
    ISBN: 9783031419928
    Language: English
    Pages: 1 Online-Ressource(X, 548 p. 24 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Data Science, Machine Intelligence, and Law 3
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Information technology ; Mass media ; Artificial intelligence. ; Robotics.
    Abstract: 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.
    Abstract: 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.
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  • 16
    ISBN: 9781509542239 , 9781509542246
    Language: English
    Pages: 308 Seiten , Illustrationen
    Edition: Third edition
    DDC: 394.12
    RVK:
    Keywords: Food Social aspects ; Food habits ; Ernährung ; Ernährungsgewohnheit ; Gesellschaft
    Note: Literaturverzeichnis: Seite 250-294, Index , Previous edition: 2017
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  • 17
    ISBN: 9783031044649
    Language: English
    Pages: 372 Seiten
    Edition: 1st ed. 2023
    Series Statement: Palgrave Studies in the History of Social Movements
    DDC: 303.640904
    Keywords: General & world history ; Geschichte ; Geschichte allgemein und Weltgeschichte ; Geschichte: Ereignisse und Themen ; HISTORY / Modern / General ; HISTORY / Social History ; HISTORY / World ; History: earliest times to present day ; POLITICAL SCIENCE / History & Theory ; POLITICAL SCIENCE / Labor & Industrial Relations ; Political science & theory ; Politikwissenschaft ; Social & cultural history ; Sozial- und Kulturgeschichte
    Abstract: This edited collection offers a timely and original perspective on the many upheavals and revolutions that broke out across the world during the earlytwentieth century. With previous research tending to confine revolutions within national borders, this book sets out to place them within a broader global sphere of thought and action. The authors explore the time phase between the Russian Revolution of 1905 and the Asturian Revolution of 1934, including cases from South Africa, Australia, China, the Middle East and Latin America. Providing insights from leading scholars in the field, this collection highlights the interconnectedness and transnationalism of upheavals and revolutions, offering a new approach which integrates political, social and cultural history.Chapter 8 is available open access under a Creative Commons Attribution 4.0 International License via Link.springer.com
    Description / Table of Contents: 1. Introduction: Three Decades of Global Revolution at the Beginning of the Twentieth Century; Stefan Berger and Klaus Weinhauer.- Part I. Revolutions around the World.- 2. Leading the Workers, Leading the Peasants: The Russian Revolution, 1897-1921; Geoffrey Swain.- 3. Imagining, Scripting and Enacting Revolution in Early Twentieth-Century China: The Xinhai Revolution of 1911; Laura De Giorgi.- 4. Frontiers of Revolution and Empire in the Middle East; Alp Yenen.- 5. Land and Freedom: Anarchists and Indians in the Crossfire of Colonial Expansion and Social Revolution in Latin America, 1848-1917; Olaf Kaltmeier and Léon Enrique Ávila Romero.- Part II. Revolutions, Revolutionaries and Counter Mobilisation in Europe.- 6. Global versus National Revolutionaries: Italian Trajectories from the 'Great Migration' to the 'Fascist Revolution'; Marica Tolomelli.- 7. The German Revolution of 1918-1920; Stefan Berger and Klaus Weinhauer.- 8. The First Revolution of the Twentieth Century: Fears of Socialism and Anti-labour Mobilisation in Europe after the Russian Revolution of 1905; Romain Bonnet, Amerigo Caruso and Alessandro Saluppo.- 9. For People's Power: Revolutions in Finland, 1899-1932; Pertti Haapala.- 10. The Last Echo of 1917: The Asturian October between Revolution and Antifascism; Matthew Kerry.- Part III. Revolutionaries between Repression and Reform.- 11. Vanguard to Laggard in a Revolutionary Age: Australian Labour, Democracy, Revolution and Reform; Liam Byrne and Sean Scalmer.- 12. The United States in an Era of Global Revolution; Shelton Stromquist.- 13. South African Revolutionaries: 1915-1922; Tom Lodge.
    Note: Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)
    URL: Cover  (lizenzpflichtig)
    URL: Cover  (lizenzpflichtig)
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  • 18
    ISBN: 9783031170409
    Language: English
    Pages: 1 Online-Ressource(XII, 116 p. 6 illus., 5 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: SpringerBriefs in Research and Innovation Governance
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Technology—Moral and ethical aspects. ; Technology—Philosophy. ; Artificial intelligence. ; Computers and civilization. ; Technology ; Technology
    Abstract: Chapter 1. Introduction -- Chapter 2. Why Case Studies? -- Chapter 3. Discrimination -- Chapter 4. Privacy -- Chapter 5. Surveillance capitalism -- Chapter 6. Manipulation -- Chapter 7. Life, Liberty and Security of Person -- Chapter 8. Dignity -- Chapter 9. Unemployment -- Chapter 10. International Justice -- Chapter 11. Conclusion -- Index.
    Abstract: This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.
    Note: Open Access
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  • 19
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031476754
    Language: English
    Pages: 1 Online-Ressource(XV, 278 p. 1 illus.)
    Edition: 1st ed. 2023
    Series Statement: Memory Politics and Transitional Justice
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Europe ; Collective memory. ; Identity politics. ; Politischer Konflikt ; Innenpolitik ; Gesellschaft ; Kollektives Gedächtnis ; Politische Kultur ; Nordirland
    Abstract: Preface -- Introduction Collective remembering and the power of commemoration -- Chapter 1. Engaging the present through the past -- Chapter 2. Identity, commemoration, remembering and forgetting -- Chapter 3.The active use of narratives in collective memory -- Chapter 4. Imagined communities and community imaginations -- Chapter 5. Localised narratives the construction of community myths -- Chapter 6. Popular cultures, memory performance and using memory -- Chapter 7. Transnational memories and generational change -- Chapter 8. Legacy, victimhood and the possibility of change -- Conclusion. Collective memory, narrative, politics and identity in Northern Ireland: some conclusions.
    Abstract: This book covers the notion of collective memory – broadly defined as the ways in which differing pasts are created, understood and reproduced – and how this is perpetuated in Northern Ireland by a wide set of social actors, including nations, religious and political groupings, and local communities. Such collective memories are not a preservative for historically accurate recall of bygone events but rather readings of the past subject to contemporary interpretations and political pressure. The adoption of political symbolism remains central to subsequent events. Indeed, in Northern Ireland, both communities hold their conflicting ‘memories’ dear and, importantly, rival political organizations have invested much in their own reading of the causes of the outbreak and continuation of the conflict. Set alongside constant exposure to other forms of discourse, texts, songs, prose and more visible physical manifestations – such as murals, commemorative gardens, personal tattoos, and even gravestones – there are a multitude of ways of reminding people of particular memories, community histories and interpretations of events, and of providing the background within which attitudes are formed. James W. McAuley is Professor Emeritus of Political Sociology and Irish Studies at the University of Huddersfield, Visiting Professor in Political Sociology at Leeds Beckett University and Honorary Research Fellow in Political Psychology at Liverpool Hope University. .
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  • 20
    ISBN: 9781509555086
    Language: English
    Pages: xiv, 317 Seiten , Diagramme, Karten
    Uniform Title: Où en sont-elles?
    Parallel Title: Erscheint auch als
    DDC: 306.09181
    RVK:
    Keywords: Geschichte ; Soziale Situation ; Feminismus ; Geschlechterverhältnis
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  • 21
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031271700
    Language: English
    Pages: 1 Online-Ressource(XIV, 150 p. 3 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Cognitive science. ; Cognitive neuroscience. ; Artificial intelligence. ; Psychiatry.
    Abstract: Where there is data there are questions of ownership, leaks, and worries about misuse. When what’s at stake is data on our brains, the stakes are high. This book brings together philosophical analysis and neuroscientific insights to develop an account of ‘brain data’: what it is, how it is used, and how we ought to take care of it. Emerging trends in neuroscience appear to make mental activity legible, through sophisticated processing of signals recorded from the brain. This can include Artificial Intelligence (AI), with algorithms classifying brain signals for further processing. These developments will have ramifications for concepts of the brain, the self, and the mind. They will also affect clinical practices like psychiatry, by modifying concepts of mental health and introducing AI-based diagnostic and treatment strategies. The issues arising are vastly complicated, little understood, but of high importance. Philosophical Perspectives on Brain Data clarifies complex intersections of philosophical and neuroscientific interest, presenting an account of brain data that is comprehensible. This account can be the basis for evaluating practices based on brain data. As such, the book aims to open a novel space for evaluating hitherto arcane areas of academic research in order to provide the necessary scope for understanding their real-world consequences. These consequences will include personal, socio-political, and public health dimensions. It is therefore vital that they are understood if their impacts upon aspects of everyday life can be evaluated adequately. Stephen Rainey is a Lecturer in the Philosophy of Technology at Technische Universiteit, Delft, Netherlands. His recent work has focussed on ethical and epistemic issues concerning brain computer interfaces, including how these impact upon identity, rationality, and control over actions.
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  • 22
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031211478
    Language: English
    Pages: 1 Online-Ressource(XII, 490 p. 65 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Philosophical Studies Series 152
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Technology—Philosophy. ; Social sciences—Data processing. ; Artificial intelligence. ; Social policy. ; Computers and civilization. ; Social service. ; Technology ; Social sciences
    Abstract: Preface -- General Part -- Chapter 1. Setting the scene: Artificial Intelligence for the Sustainable Development Goals -- Chapter 2. The Golden rules for ethical AI -- Chapter 3. AIxSDGs projects -- Chapter 4. Business model desirable to incentivise AIxSDGs projects -- Chapter 5. AI helping decision-making processes to achieve the SDGs -- Chapter 6. AI and circular economy for SDGs -- Chapter 7. Analysis of SDGs that mostly benefitted from an AI approach -- Chapter 8. AI for sustainable industrial growth -- Chapter 9. Case studies on AI for clear water and sanitation -- Chapter 10. The potential of AI for education.
    Abstract: This volume provides an extensive overview of the Ethics of Artificial Intelligence for the Sustainable Development Goals. The authors are experts contributing with perspectives from different fields. The comprehensive collection of chapters illustrates the pressing governance problems related to using AI for the SDGs, and case studies describing how AI is advancing and can advance the achievement of the Goals. Students, scholars, and practitioners working on AI for SDGs, the ethical governance of AI, sustainability, and the fourth revolution can find this book a helpful reference.
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  • 23
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer International Publishing AG
    ISBN: 9783031393518 , 3031393511
    Language: English
    Pages: 1 Online-Ressource (IX, 237 Seiten)
    Edition: 1st ed. 2023
    Series Statement: Palgrave Studies in (Re)Presenting Gender
    Parallel Title: Erscheint auch als Williamson, Rachel 21st-Century Narratives of Maternal Ambivalence
    DDC: 305.3
    RVK:
    Keywords: Geschichte ; Massenkultur ; Mutterschaft ; Sex ; Popular Culture ; Gender identity in mass media ; Gender Studies ; Popular Culture ; Media and Gender
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 24
    ISBN: 9783031361630
    Language: English
    Pages: 1 Online-Ressource(VIII, 201 p. 1 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Philosophy, African. ; Artificial intelligence. ; Philosophy of mind.
    Abstract: i.Dedication -- ii. Acknowledgement -- iii. Preface -- Part One: Conversations on Mind, Body and Consciousness -- 1. James Tartaglia – Gyekye’s Idealist Theory of the Soul -- 2. Oladele Balogun – A Central State Materialistic Interpretation Of The Yoruba Concept Of Person: A Critique -- 3. Elvis Imafidon - Between The Demon And The Tumour: Exploring Mental Cognitive Processes And Healing As If Context Mattered -- 4. Ada Agada - The Concept Of Vital Force, Protopanpsychism, And The Mind-Body Problem -- 5. Emmanuel Ofuasia - On Human Consciousness And Cognition Of The Actual World: A Case For Skepticism -- 6. Laura Crompton - Extended Mind, Extended Agency? -- 7. Khondlo Mtshali - Dualism Without The Problem of Interaction -- 8. Clarton Fambisai - A Novel Reply to Jackson’s Knowledge Argument -- 9. Kenneth Uyi Abudu - A Critique Of Central State Materialism From An African Perspective -- 10. Aribiah Attoe – The Hard Problem of Consciousness: A Proto-phenomenal Outlook -- 11. Samuel Segun – Questioning the Validity of Equiphenomenalism as a Functionalist Theory -- 12. Nelson Osuala - Interrogating the Reasonability of Equiphenomenalism as an Explanatory Theory of Mind: A Conversation with Segun T. Samuel -- 13. Victor Nweke - The Emergence of Proto-mind and its Import for Ubuntu -- 14. Solomon Awe - Rethinking The Metaphysical Issues Of Reincarnation In Yoruba Culture: A Further Reflections On Mind-Body Dichotomy -- 15. Enyimba Maduka - Epistemological Implication Of Chimakonam’s Theory Of Sense-Phenomenalism -- 16. John Patrick Giddy - African Traditional Philosophy Of Mind And World: A Framework For The Ethical Potential Of Modern Thought -- Part Two: Conversations on Africa and some Major Themes of the Fourth Industrial Revolution -- 17. Samuel Segun – Making Afro-ethics Computational -- 18. Ojochogwu Abdul - Transhumanism, Singularity And The Meaning Of Life: An Afrofuturist Perspective -- 19. Aribiah Attoe & Amara Esther - Transhumanism, Immortality and the Communal Normative Function Theory of the Meaning of Life -- 20. Thaddeus Metz - African Reasons Why AI Should Not Maximize Utility -- 21. Diana Ofana - Can Robots Attain Personhood In African Thought? -- 22. Hailu Andebet - Robotics And The African Man -- 23. John Umezurike - The Concept of AI and Personhood in African Thought Systems -- 24. Augustine Atabor - Affective Computing And The Singularity: The Moral Relevance Of Shame In AI -- 25. Reneilwe Masuluke & Abiola Azeez – On Indigenous Design and Consumerism: 4IR in Africa -- 26. Joseph Hungwe - My Phone And The Community: Nomophobia As A Technological Reconfiguration Of African Communalism.
    Abstract: This book offers a first glimpse into contemporary African Philosophical thought, which covers issues related to the mind-body relationships, the problem of consciousness, the ethics of artificial intelligence, the meaning of life and other topics. Taking inspiration from the conversational tradition in African philosophy, this book not only engages with and takes inspiration from traditional African thought, but also engages with philosophical views outside the philosophical tradition in a bid to present a holistic understanding of the problems that are central to the book. The volume is relevant for professional African philosophers, philosophers of mind, philosophers of AI, undergraduate and postgraduate philosophy students, and African Studies scholars.
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  • 25
    ISBN: 9781509556298 , 9781509556304
    Language: English
    Pages: 218 Seiten
    Uniform Title: Spätmoderne in der Krise
    Parallel Title: Erscheint auch als Reckwitz, Andreas, 1970 - Late modernity in crisis
    DDC: 301.01
    Keywords: Social change -- History -- 21st century ; Social sciences -- Philosophy ; Gespräch ; Gespräch ; Reckwitz, Andreas 1970- ; Rosa, Hartmut 1965- ; Moderne ; Gesellschaft ; Soziologische Theorie ; Soziologie
    Abstract: Zusammenfassung: In times of entrenched social upheaval and multiple crises, we need the kind of social theory that is prepared to look at the big picture, analyze the broad developmental features of modern societies, their structural conditions and dynamics, and point to possible ways out of the crises we face. Over the last couple of decades, two German sociologists, Andreas Reckwitz and Hartmut Rosa, have sought to provide wide-ranging social theories of this kind. While their theories are very different, they share in common the view that the analysis of modernity as a social formation must be kept at the heart of sociology, and that the theory of society should ultimately serve to diagnose the crises of the present.In this book, Andreas Reckwitz and Hartmut Rosa join forces to examine the value and the limits of a theory of society today. They provide clear and concise accounts of their own theories of society, explicate their key concepts - including "singularization" in the case of Reckwitz, "acceleration" and "resonance" in the case of Rosa - and draw out the implications of their theories for understanding the multiple crises we face today. The result is a book that provides both an excellent introduction to the work of two of the most important sociologists writing today and a vivid demonstration of the value of the kind of bold social theory of modern societies that they espouse
    Note: Translated from the German
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
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  • 26
    ISBN: 9781509555871
    Language: English
    Pages: ix, 230 Seiten , Illustrationen
    Uniform Title: Nachruf auf mich selbst
    DDC: 303.4
    RVK:
    RVK:
    RVK:
    Keywords: Economic development Social aspects ; Social stability ; Sustainability ; Sustainable development ; Stabilité sociale ; Durabilité de l'environnement ; Développement durable ; sustainable development ; Economic development - Social aspects ; Social stability ; Gesellschaft ; Entwicklung ; Grenzen des Wachstums ; Lebensführung ; Nachhaltigkeit ; Endlichkeit
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
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  • 27
    ISBN: 9781509553938
    Language: English
    Pages: v, 302 Seiten , Illustrationen, Diagramme, Karten
    Uniform Title: Coccodrilli al Polo Nord e ghiacci all'Equatore
    RVK:
    RVK:
    Keywords: Climatic changes History ; Klima ; Umwelt ; Ökologie ; Klimaänderung ; Erwärmung ; Umweltschaden ; Auswirkung ; Geschichte ; Erde
    Abstract: Theories and opinions about climate change abound - from those claiming that human-induced climate change is already beyond control to those who express scepticism about the real extent of these changes. How should we weigh up the scientific evidence, and what role does climate change play in the history of the Earth? In this comprehensive history of the climate and climate change, Antonello Provenzale explains how the planetary climate system works and how the climate has evolved over millions of years. Starting from the catastrophic events that marked the early history of the Earth, including seas of magma, global glaciations and mass extinctions, he shows that the climate has fluctuated between hot and cold periods: at certain times, the Earth was hot and lush with forests, while at others it was almost entirely covered by a thick layer of ice. The mechanisms that determine the modifications of the climate are multiple and complex and include external factors, such as solar luminosity and variations in the Earth's orbit, as well as internal processes connecting the atmosphere, the oceans, the crust, the mantle and the biosphere, which comprises living organisms. While the climate has fluctuated a great deal in the long history of the Earth, there are two features of our current situation that are a source of real concern. First, the rise in temperature of the last 50 years has been extremely fast, making it difficult for the environment to adapt to the new conditions. Second, the human population is much greater than it was in the past, and this population needs water, food, energy and shelter to survive. If temperatures continue to rise as they have in recent decades, ours will not be an easy world in which to live. To appreciate what is at stake we need to understand how the climate works and how human activity is affecting it - not in order to save the planet, which will do just fine on its own and probably better without us, but to save ourselves.
    Note: Literaturverzeichnis: Seite 260-282
    URL: Cover
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  • 28
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031160721
    Language: English
    Pages: 1 Online-Ressource(XII, 819 p. 349 illus., 283 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 542
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new directions and dimensions of future research work. We hope that readers find the volume interesting and valuable.
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  • 29
    ISBN: 9783031176012
    Language: English
    Pages: 1 Online-Ressource(XVII, 402 p. 155 illus., 136 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 556
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Cross-Cutting Support of Decision Making for Forming Personalized Learning Spaces -- Personalized Learning in an Intelligent Educational System -- Electronic-Service Learning to Sustain Instruction with Civic Engagement during the COVID-19 Pandemic -- Evaluating E-Learning Process on Virtual Classroom Systems using an ISO-based model -- SERVE as instructional design for low-connectivity online self-directed modules -- From Threads to Textiles: Building an Ontology for the Indigenous Fabrics of the Ifugao -- TraCon: A novel dataset for real-time traffic cones detection using deep learning -- A Comparison of Machine Learning Methods for Modeling Dengue Incidence in Local Communities.
    Abstract: This book summarizes the research findings presented at the 2nd International Conference on Novel & Intelligent Digital Systems (NiDS 2022). NiDS 2022 was implemented virtually due to COVID-19 restrictions, on September 29-30, 2022, under the auspices of the Institute of Intelligent Systems. NiDS lays special emphasis on the novelties of intelligent systems and on the interdisciplinary research which enables, supports, and enhances artificial intelligence (AI) in software development. It promotes high-quality research, creating a forum for the exploration of challenges and new advances in AI, and addresses experts, researchers, and scholars in the fields of artificial and computational intelligence in systems and in computer sciences in general, enabling them to learn more about pertinent, strongly related, and mutually complementary fields. The conference promotes an exchange of ideas, reinforcing and expanding the network of researchers, academics, and market representatives.
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  • 30
    ISBN: 9783031077074
    Language: English
    Pages: 1 Online-Ressource(XII, 202 p. 31 illus., 20 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1040
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Mathematics—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Mathematics
    Abstract: Decidability of real-valued S4 Go¨del logic -- Basic logic versus multi-adjoint logic -- Fuzzy logic programming with generalized quantifiers -- Fuzzy relations: the fundament for fuzzy rough approximation, fuzzy concept analysis and fuzzy mathematical morphology -- Information bireducts and its relationship with reducts -- On the applicability of fuzzy lines in circular Hough transform in lesion segmentation on liver CT images -- Directional properties of semi-aggregation functions -- Generalized Phi-Transform of Aggregation Functions on Bounded Lattices -- Sugeno Integral for Atanassov Intuitionistic Fuzzy Sets -- Facilitating the simulation of domestic energy systems through linguistic representations -- Experiments with the Discrete Bacterial Memetic Evolutionary Algorithm for solving the Cumulative Capacitated Vehicle Routing Problem -- Fuzzy Inference System-like Aggregation Operator (FISAO) for Fuzzy Signatures -- Context of a local congruence concept reduction -- One-sided concept lattices by blocks -- From Fuzzy Partitions to Riemannian Manifolds -- Discrete universal fuzzy integrals -- Energy determined membership function of viscoelastic models -- Advances in forgery detection of driving licences using truthfulness degrees -- A formal method for driver identification -- Analysis and identification of forensic events using non-parametric density estimation -- Fuzzy signature based model in material handling management -- On Choquet integral in ranking crimes -- The Effects of Knowledge Extraction Approaches on Cryptanalysis Studies and Analysis of the Success of Chaos-Based Countermeasures.
    Abstract: The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic. Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems.
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  • 31
    ISBN: 9783031107801
    Language: English
    Pages: 1 Online-Ressource(XII, 653 p. 222 illus., 189 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Automation, Collaboration, & E-Services 10
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Manufactures. ; Artificial intelligence.
    Abstract: Future of Work and Work Systems: Machine Learning & Artificial Intelligence for Designing Smart, Safe, Healthy & Ethical Work in Financial Services -- Supporting production management in the fourth industrial revolution: a framework based on shop-floor data -- Perceived Usability in User-Centered Design: Analysis of Usability Aspects for Improving Human-Machine System -- Synthesizing Construction Professionals’ Perceived Measures of Mitigating Contractors’ Opportunism -- Systematic Review of the Relationship between Advanced Production Management and Workplace Safety.
    Abstract: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. This book is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This book for the GSIS emphasizes main thematic areas: manufacturing, services and user experience. Main areas of coverage include Section A: Advanced Production Management and Production Control; Section B: Healthcare Automation; Section C: Measuring and Modeling Human Performance; Section D: Usability and User Experience; Section E: Safety Management and Occupational Ergonomics; Section F: Manufacturing and Services; Section G: Data and Probabilistic Information; Section H: Training and Collaboration Technologies. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction International and Applied Human Factors and Ergonomics International (AHFE), both within the Lecture Notes in Springer. The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. .
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  • 32
    ISBN: 9783031098352
    Language: English
    Pages: 1 Online-Ressource(IX, 419 p. 115 illus., 72 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1054
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-heuristics, and Swarm Intelligence -- Introductory Review of Swarm Intelligence Techniques -- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends -- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems -- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems.
    Abstract: Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems. .
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  • 33
    ISBN: 9783031082467
    Language: English
    Pages: 1 Online-Ressource(XXVII, 457 p. 182 illus., 130 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 226
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.
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  • 34
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031146053
    Language: English
    Pages: 1 Online-Ressource(VIII, 268 p. 23 illus., 20 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 523
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: A provincial indicator to describe potential Artificial Intelligence -- Transitions, Harmony and the Mediterranean: the Case of the Harmonic Innovation Hub -- Sustainability in manufacturing. From a model of transition to the transition of the model -- An International Classification of Volunteers Using Artificial Intel-ligence Methods -- A multicriteria approach to the market of electric/hybrid vehicles using TOPSIS method -- Sustainable technologies in urban and architectural renovation of public residential estates -- The contemporaneity of the smart city -- Towards harmonious and sustainable cities.
    Abstract: This book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This consideration explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms. This book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include, economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion. Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics. .
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  • 35
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031128073
    Language: English
    Pages: 1 Online-Ressource(XXII, 256 p. 86 illus., 64 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 232
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence.
    Abstract: Black Box Models for eXplainable Artificial Intelligence -- Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why? -- An Overview of Explainable AI Methods, Forms and Frameworks.
    Abstract: This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
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  • 36
    ISBN: 9783031107849
    Language: English
    Pages: 1 Online-Ressource(XII, 522 p. 215 illus., 179 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Automation, Collaboration, & E-Services 11
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Transportation engineering. ; Traffic engineering. ; Artificial intelligence.
    Abstract: The Shorter Takeover Request Time the Better? Car-Driver Handover Control in Highly Automated Vehicles -- Automating the Driving Task – How to Get More Human-Centered -- Task Simulation Automation via Digital Human Models: A Case Study on Cockpit Fire and Smoke Emergencies -- Facility Layout Design Optimization of Wing Assembly of Unmanned Aerial Vehicle Based on Particle Swarm Optimization -- Human-Computer Interaction in Mobility System -- Design for Inclusion and Aged Population in Transportation and Human-Automation Interaction. .
    Abstract: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic area: transportation. Main areas of coverage include Section A: Interaction with Vehicle Automation; Section B: HCI in Automated Vehicles; Section C: Trust in Vehicle Automation; Section D: Physical Modeling of Vehicle Cabs; Section E: Task Simulation Automation via Digital Human Models; Section F: Maintenance and Manufacturing; Section G: Smart Cities and Connected Vehicles. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries.
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  • 37
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031115936
    Language: English
    Pages: 1 Online-Ressource(XXII, 281 p. 107 illus., 83 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 230
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Living beyond data with Feature Concepts -- Innovation for the Real-World through Knowing Why -- Why Abductive Cognition Goes Beyond Just Learning from Data. .
    Abstract: This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful. The reader will be released from these dilemmas and enabled to act beyond patterns in past events by creating a process to interact with the data market and the dynamic real-world rich in new events. We present new approaches from the aspects of computation, communication, and their integration, to readers including analysts in sciences and businesses, systems managers, and learners desiring to design knowledge to learn. We show clues to explaining causalities in the target world of a black-box AI of which users may seek a predictive performance. For obtaining interpretable knowledge, we show the integration of model- and data-driven approaches, the analysis and perception of signals from data acquired in the cyber or the real word, and creative communication which connects demands to data by visualizing the data market as a place for innovations.
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  • 38
    ISBN: 9783031168680
    Language: English
    Pages: 1 Online-Ressource(XVI, 331 p. 91 illus., 77 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1070
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Fundamentals and Backgrounds -- Evolutionary Computation -- Deep Neural Networks -- Part II: Evolutionary Deep Neural Architecture Search for Unsupervised DNNs -- Architecture Design for Stacked AEs and DBNs -- Architecture Design for Convolutional Auto-Encoders -- Architecture Design for Variational Auto-Encoders -- Part III: Evolutionary Deep Neural Architecture Search for Supervised DNNs -- Architecture Design for Plain CNNs -- Architecture Design for RBs and DBs Based CNNs -- Architecture Design for Skip-Connection Based CNNs -- Hybrid GA and PSO for Architecture Design -- Internet Protocol Based Architecture Design -- Differential Evolution for Architecture Design -- Architecture Design for Analyzing Hyperspectral Images -- Part IV: Recent Advances in Evolutionary Deep Neural Architecture Search -- Encoding Space Based on Directed Acyclic Graphs -- End-to-End Performance Predictors -- Deep Neural Architecture Pruning -- Deep Neural Architecture Compression -- Distribution Training Framework for Architecture Design.
    Abstract: This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.
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  • 39
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031148835
    Language: English
    Pages: 1 Online-Ressource(XVIII, 282 p. 1 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als Hamerton, Christopher Devilry, deviance, and public sphere
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Crime—Sociological aspects. ; Critical criminology. ; Deviant behavior. ; Social control. ; Social history. ; Criminology. ; Mass media and crime. ; Crime ; Crime & criminology ; HISTORY / Social History ; SOCIAL SCIENCE / Criminology ; SOCIAL SCIENCE / General ; Social & cultural history ; Society & social sciences ; Sozial- und Kulturgeschichte ; Verbrechen und Kriminologie (Kriminalistik) ; London ; Abweichendes Verhalten ; Verbrechen ; Geschichte ; Gewalttätigkeit ; Jugend ; Drogenkonsum
    Abstract: Foreword: Professor Dick Hobbs -- Chapter 1: Introduction: Devilry, Deviance, and Public Sphere: The Social Discovery of Moral Panic in Eighteenth Century London -- Chapter 2: The shaping of opinion: Literacy, media, and folk devils in eighteenth-century London -- Chapter 3: This great and monstrous thing, called London -- Chapter 4: Who has not trembled at the Mohocks name? Panic on the streets, 1712 -- Chapter 5: Kill-grief and Comfort: Madame Geneva and the London gin panic, 1720-1751 -- Chapter 6: Morality amid monstrosity: The London Monster panic, 1790 -- Chapter 7: Conclusion.
    Abstract: “By showing the reader how the moral crises of earlier centuries can impact on our understanding of contemporary society Hamerton has revitalised the complex concept of moral panic. Stan Cohen would have been impressed.” — Professor Dick Hobbs, University of Essex, UK “This is a rare book, one which combines the skilful evaluation of complex theory and rigorous historical research in a sophisticated but accessible form. A stimulating, thought-provoking, and highly recommended read.” — Professor Julia Davidson, OBE, University of East London, UK “A very timely and much needed contribution, shedding fresh light on Stanley Cohen’s ‘moral panic’ theory. This book should be widely read across the social sciences and humanities. It will be on my students’ reading lists, and should be marked for inclusion on many others.” — Dr Mark Ramsden, University of Cambridge, UK Devilry, Deviance, and Public Sphere draws on criminology and social theory to explore and expand social historical themes in the analysis of perceptions of deviance and crime in the eighteenth century. Developing the theoretical device of Folk Devils and Moral Panics, instigated by Stanley Cohen and developed by Erich Goode and Nachman Ben-Yehuda, the book explores the social discovery of, and public response to, crime and deviance in that period. Detailed contemporary case studies of youth violence, sexual deviance, and substance abuse are used to argue that Hanoverian London and its novel media can be identified as the initiating historical site for what might now be termed public order moral panics. In doing so, Hamerton provides a vivid historical lineage of moral panic which traverses much of the long eighteenth century. The book considers social change, allowing for points of theoretical convergence and divergence to be observed, whilst exploring historical models of public opinion, media, deviance and crime alongside the unique character and power located within the burgeoning Metropolis. Devilry, Deviance, and Public Sphere seeks to make an important contribution to the understanding of both moral panic theory and the historiography of crime and deviance, and posits that the current discourse on folk devils and moral panics can be extended and enriched via the exploration of the moral crises of earlier centuries. Christopher Hamerton is Deputy Director of the Institute of Criminal Justice Research in the School of Economic, Social and Political Sciences at the University of Southampton, United Kingdom.
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  • 40
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031165986
    Language: English
    Pages: 1 Online-Ressource(XII, 638 p. 159 illus., 119 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 549
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Literature Review on Digital Transformation -- Safety and Security -- Intelligent Digital Transformation -- Automotive -- Energy -- Smart Manufacturing -- White Goods -- Health -- Banking -- Tourism -- Insurance and Finance -- Education -- Smart Cities -- Transportation -- Future of Digital Transformation.
    Abstract: This book states that intelligent digital transformation is the process of using artificial intelligence techniques in digital technologies such as machine learning, natural language processing, automation and robotics to transform existing non-digital business processes and services to meet with the evolving market and customer expectations. This book including 26 chapters, each written by their experts, focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent systems. Intelligent digital transformation examples from almost all sectors including health, education, manufacturing, tourism, insurance, smart cities, banking, energy and transportation are introduced by theory and applications. The intended readers are managers responsible for digital transformation, intelligent systems researchers, lecturers, and MSc and PhD students studying digital transformation.
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  • 41
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031085802
    Language: English
    Pages: 1 Online-Ressource(IX, 276 p. 87 illus., 66 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1045
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: Question-Answering System over Knowledge Graphs using Analogical-Problem-Solving Approach -- Fuzzy Transform on Manifolds -- Fuzzy Transform on Manifolds -- Freedom of Will, Physics, and Human Intelligence: An Idea -- SDN delay prediction using machine learning algorithms -- Stochastic Simulations of Airborne Particles in a Fibre Matrix -- Similar Vietnamese Document Detection in Online Assignment Submission System -- A Study of Causal Modeling with Time Delay for Frost Forecast Using Machine Learning from Data.
    Abstract: This book describes current and potential use of artificial intelligence and computational intelligence techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues. Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to deep learning, fuzzy techniques, knowledge graphs, and quantum computing. It also describes the results of testing these new methods in communication networks, education, environmental studies, food industry, retail industry, transportation engineering, and many other areas. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications—and to further develop this important research direction.
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  • 42
    ISBN: 9783031205699
    Language: English
    Pages: 1 Online-Ressource(XIII, 116 p. 26 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1041
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Motivation and Outline -- A General Description of Measuring Devices: Plan -- A General Description of Measuring Devices: First Step – Finite Set of Possible Outcomes -- A General Description of Measuring Devices: Second Step – Pairs of Compatible Outcomes -- A General Description of Measuring Devices: Third Step – Subsets of Compatible Outcomes -- A General Description of Measuring Devices: Fourth Step – Conditional Statements about Possible Outcomes -- A General Description of Measuring Devices: Fifth Step – Disjunctive Conditional Statements about the Possible Outcomes -- A General Description of Measuring Devices: Summary -- Physical Quantities: A General Description -- Properties of Physical Quantities -- Future Work.
    Abstract: This book is about methodological aspects of uncertainty propagation in data processing. Uncertainty propagation is an important problem: while computer algorithms efficiently process data related to many aspects of their lives, most of these algorithms implicitly assume that the numbers they process are exact. In reality, these numbers come from measurements, and measurements are never 100% exact. Because of this, it makes no sense to translate 61 kg into pounds and get the result—as computers do—with 13 digit accuracy. In many cases—e.g., in celestial mechanics—the state of a system can be described by a few numbers: the values of the corresponding physical quantities. In such cases, for each of these quantities, we know (at least) the upper bound on the measurement error. This bound is either provided by the manufacturer of the measuring instrument—or is estimated by the user who calibrates this instrument. However, in many other cases, the description of the system is more complex than a few numbers: we need a function to describe a physical field (e.g., electromagnetic field); we need a vector in Hilbert space to describe a quantum state; we need a pseudo-Riemannian space to describe the physical space-time, etc. To describe and process uncertainty in all such cases, this book proposes a general methodology—a methodology that includes intervals as a particular case. The book is recommended to students and researchers interested in challenging aspects of uncertainty analysis and to practitioners who need to handle uncertainty in such unusual situations.
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  • 43
    ISBN: 9783031208515
    Language: English
    Pages: 1 Online-Ressource(XII, 181 p. 57 illus., 27 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction -- Intelligence Analysis -- Foundations of the computational techniques -- Applying Situation Awareness to Intelligence Analysis -- Decision making through what-if analysis -- System modelling with graphs -- Behaviour modelling with fuzzy signatures -- Concept drift analysis with structures of opposition -- Comparing different approaches for implementing probability based rough set operators -- Data streaming scenarios -- Dealing with continuous variables: neighborhood and dominance based rough sets.
    Abstract: This book focuses on the definition and implementation of data-driven computational tools supporting decision-making along heterogeneous intelligence scenarios. Intelligence analysis includes methodologies, activities, and tools aimed at obtaining complex information from a set of isolated data gathered from different sensors. The tools aim at increasing the level of situation awareness of decision-makers through the construction of abstract structures supporting human operators in reasoning and making decisions. This book appeals to students, professionals, and academic researchers in computational intelligence and approximate reasoning applications. It is a comprehensive textbook on the subject, supported with case studies and practical examples in Python. The readers will learn how to define decision support systems for the intelligence analysis through the application of situation awareness and granular computing for information processing. .
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  • 44
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031113178
    Language: English
    Pages: 1 Online-Ressource(XV, 360 p. 112 illus., 106 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als Scientific visual representations in history
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    RVK:
    Keywords: Science—History. ; History—Philosophy. ; Art—History. ; Science ; History ; Art ; Aufsatzsammlung ; Grafische Darstellung ; Naturwissenschaften ; Geschichte
    Abstract: Part I: Transmission -- Chapter 1. Visual Culture Of University Knowledge: The Lecture Notebooks From Louvain And Douai (17th-18th Centuries)(Gwendoline De Mûelenaere - University Of Louvain, Belgium) -- Chapter 2. The Illustrated Printed Page As A Tool For Thinking And Transmitting Knowledge. The Case Of Renaissance Astronomical Books(Isabelle Pantin) -- Chapter 3. Representing Experience In The Early Royal Society. The Case Of Robert Hooke?S Micrographia (1665)(Salvatore Ricciardo - University Of Bergamo, Italy) -- Chapter 4. Vision On Vision: Early Modern Scientific Images On Cosmology Explored By Means Of Second Order Images(Matteo Valleriani, Florian Kräutli) -- Part II: Transformation -- Chapter 5. Theorizing Technology: Theōria, Diagram, And Artifact In Hero Of Alexandria(Courtney Roby) -- Chapter 6. Artistic 'Libido' And Scientific Truth In 16th Century Woodcut Illustrations(Magdalena Bushart) -- Chapter 7. Capturing, Modeling, Overviewing And Making Credible: The Functions Of Visual At The Accademia Del Cimento(Giulia Giannini) -- Chapter 8. The Transformations Of Physico-Mathematical Visual Thinking: From Descartes To Quantum Physics(Enrico Giannetto) -- Part III: Exploration -- Chapter 9. Transporting Asian And Australasian Nature To Europe: Photographs From The Voyage Of HMS. Challenger 1872–1876(Stephanie Hood) -- Chapter 10. Visualising Biodata In The Laboratory. Image-Makers, Practices And Reinvention In Magnetic Resonance Technology(Silvia Casini) -- Chapter 11. Arguing From Appearance: The Numerical Reconstruction Of Galactic Tails And Bridges(Matthias Schemmel) -- Chapter 12. Ethnoscience And Spatial Representations Of Climate Change(Elena Bougleux).
    Abstract: This book explores continuity and ruptures in the historical use of visual representations in science and related disciplines such as art history and anthropology. The book also considers more recent developments that attest to the unprecedented importance of scientific visualizations, such as video recordings, animations, simulations, graphs, and enhanced realities. The volume collects historical reflections concerned with the use of visual material, visualization, and vision in science from a historical perspective, ranging across multiple cultures from antiquity until present day. The focus is on visual representations such as drawings, prints, tables, mathematical symbols, photos, data visualizations, mapping processes, and (on a meta-level) visualizations of data extracted from historical sources to visually support the historical research itself. Continuity and ruptures between the past and present use of visual material are presented against the backdrop of the epistemic functions of visual material in science. The function of visual material is defined according to three major epistemic categories: exploration, transformation, and transmission of knowledge.
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  • 45
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031164156
    Language: English
    Pages: 1 Online-Ressource(X, 304 p. 45 illus., 31 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 217
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Artificial intelligence.
    Abstract: Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- Selfish Gene Theory Explains Oedipus Complex -- How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- Shall We Ignore All Intermediate Grades? -- Why ∞ is a Reasonable Symbol for Infinity -- What is 1/0 from the Practical Viewpoint: A Pedagogical Note -- Historical Diversity Through base-10 Representation of Mayan Maths.
    Abstract: This book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation. Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religion—and, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas. Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques.
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  • 46
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031216787
    Language: English
    Pages: 1 Online-Ressource(VIII, 172 p. 57 illus., 47 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Proceedings in Adaptation, Learning and Optimization 16
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Pretrained E-commerce Knowledge Graph Model for Product Classification -- A Novel Methodology for Object Detection in Highly Cluttered Images -- Extreme learning Machines for Offline Forged Signature Identification -- Randomized model structure selection approach for Extreme Learning Machine applied to Acid sulfate soils detection -- Online label distribution learning based on kernel extreme learning machine.
    Abstract: This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
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  • 47
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031205859
    Language: English
    Pages: 1 Online-Ressource(XIII, 372 p. 214 illus., 191 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 4
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Abstract: Introduction -- e-Government: The concept, the environment & critical issues for the Back-Office systems -- Semantic Web: The evolution of the Web & the opportunities for the e-Government -- Representation and knowledge management for the benefit of e-Government - Opportunities through the tools of the Semantic Web -- Towards Open Data and Open Governance – Representation of knowledge and Triplification of data in the field of the Greek Open Government Data -- Production and publication of linked open data: The case of open ontologies -- Education and E-Government - The case of a Moodle based platform for the education and evaluation of civil servants -- Conclusions – Future Work.
    Abstract: Evolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government.
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  • 48
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031090622
    Language: English
    Pages: 1 Online-Ressource(VI, 240 p. 144 illus., 125 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1051
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Operating systems (Computers). ; Artificial intelligence. ; Computational intelligence.
    Abstract: micro-ROS- Lab-scale Smart Factory Implementation Using ROS -- High Fidelity IMU and Wheel Encoder Models for ROS based AGV Simulations -- Autonomous Laser-Induced Breakdown Spectroscopy System for Chemical and Mineralogical Designation of Interplanetary.
    Abstract: This book is the seventh volume of the successful book series on Robot Operating System: The Complete Reference, which started in 2016. The book's objective is to provide the reader with comprehensive coverage on the Robot Operating Systems (ROS) and the latest trends and contributed systems. ROS has been considered as the primary development framework for robotics applications. There are seven chapters organized into three parts. Part I presents one chapter dealing with ROS2 and presents a tutorial on using the MediaPipe framework with ROS2. In Part II, three chapters present new contributions of ROS frameworks and applications, including micro-ROS, Autonomous 3D Thermal Mapping of Disaster Environments, and Lab-scale Smart Factory Implementation Using ROS. Part III provides contributions on how to use ROS for cooperative robotics behaviors, particularly in platoon applications, in addition to developing new perception and control algorithms with sensing technologies. This book will be a valuable companion for ROS users and developers to learn more about ROS capabilities and features. .
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  • 49
    ISBN: 9783031185526
    Language: English
    Pages: 1 Online-Ressource (XII, 231 p. 171 illus.)
    Series Statement: International Series in Operations Research & Management Science 336
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Financial engineering. ; Operations research. ; Application software. ; Machine learning. ; Financial risk management. ; Artificial intelligence. ; Financial Applications ; Machine Learning ; Deep Learning ; Algorithms ; Product Modeling ; Angewandte Informatik ; Artificial intelligence ; BUS027010 ; BUSINESS & ECONOMICS / Insurance / Risk Assessment & Management ; BUSINESS & ECONOMICS / Operations Research ; COMPUTERS / Artificial Intelligence ; COMPUTERS / Data Processing / General ; Finance ; Finanzen ; Information technology: general issues ; Künstliche Intelligenz ; Machine learning ; Management & management techniques ; Management und Managementtechniken ; Management: Entscheidungstheorie ; Maschinelles Lernen ; Operational research ; Risikobewertung ; Unternehmensforschung ; Aufsatzsammlung
    Abstract: Part 1: Recent Developments in FinTech -- 1. FinTech Risk Management and Monitoring -- 2. Digital Transformation of Supply Chain with Supportive Culture in Blockchain Environment -- 3. Integration of Artificial Intelligence Technology in Management Accounting Information System - An Empirical Study -- 4. The Impact of Big Data on Accounting Practices: Empirical Evidence from Africa -- Part 2: Financial Risk Prediction using Machine Learning -- 5. Using Outlier Modification Rule for Improvement of the Performance of Classification Algorithms in the Case of Financial Data -- 6. Default Risk Prediction Based on Support Vector Machine and Logit Support Vector Machine -- 7. Predicting Corporate Failure using Ensemble Extreme Learning Machine -- 8. Assessing and Predicting Small Enterprises’ Credit Ratings: A Multicriteria Approach -- Part 3: Financial Time-Series Forecasting -- 9. An Ensemble LGBM (Light Gradient Boosting Machine) Approach for Crude Oil Price Prediction -- 10. Model Development for Predicting the Crude Oil Price: Comparative Evaluation of Ensemble and Machine Learning Methods -- part 4: Emerging Technologies in Financial Education and Healthcare -- 11. Discovering the Role of M-learning among Finance Students: The Future of Online Education -- 12. Exploring the Role of Mobile Technologies in Higher Education: The Impact of Online Teaching on Traditional Learning.-13. Knowledge Mining from Health Data: Application of Feature Selection Approaches.
    Abstract: This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study. The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
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  • 50
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031244537
    Language: English
    Pages: 1 Online-Ressource(XII, 252 p. 100 illus., 76 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1084
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Computational Thinking Design Application for STEAM Education -- Education Data for Science: Case of Lithuania -- Imbalanced Data Classification Approach Based on Clustered Training Set -- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels -- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach -- Bootstrapping Network Autoregressive Models for Testing Linearity -- Novel data science methodologies for essential genes identification based on network analysis -- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities -- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS) -- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model -- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems.
    Abstract: This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.
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  • 51
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    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031240171
    Language: English
    Pages: 1 Online-Ressource(XIV, 184 p. 81 illus., 76 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Springer Tracts in Advanced Robotics 137
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Image processing—Digital techniques. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Computer vision. ; Image processing
    Abstract: Simultaneous Localization And Mapping -- Least Squares Optimization -- Motivation - When Optimization Fails -- A Robust Back-End for SLAM -- Evaluation.
    Abstract: Simultaneous Localization and Mapping (SLAM) has been a long-standing research problem in robotics. It describes the problem of a robot mapping an unknown environment, while simultaneously localizing in it with the help of the incomplete map. This book describes a technique called Switchable Constraints. Switchable Constraints help to increase the robustness of SLAM against data association errors and in particular against false positive loop closure detections. Such false positive loop closure detections can occur when the robot erroneously assumes it re-observed a landmark it has already mapped or when the appearance of the observed surroundings is very similar to the appearance of other places in the map. Ambiguous observations and appearances are very common in human-made environments such as office floors or suburban streets, making robustness against spurious observations a key challenge in SLAM. The book summarizes the foundations of factor graph-based SLAM techniques. It explains the problem of data association errors before introducing the novel idea of Switchable Constraints. We present a mathematical derivation and probabilistic interpretation of Switchable Constraints along with evaluations on different datasets. The book shows that Switchable Constraints are applicable beyond SLAM problems and demonstrates the efficacy of this technique to improve the quality of satellite-based localization in urban environments, where multipath and non-line-of-sight situations are common error sources.
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  • 52
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    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031064692
    Language: English
    Pages: 1 Online-Ressource(XXVI, 824 p. 635 illus. in color.)
    Edition: 3rd ed. 2023.
    Series Statement: Springer Tracts in Advanced Robotics 146
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Computer vision. ; Signal processing. ; Cognitive psychology.
    Abstract: Introduction.-Foundations: Representing Position and Orientation -- Time and Motion -- Mobile Robotics: Mobile Robot Vehicles -- Navigation -- Localization and Mapping -- Robot Manipulators: Robot Arm Kinematics -- Manipulator Velocity -- Dynamics and Control -- Computer Vision: Light and Color -- Images and Image Processing,- Image Feature Extraction,- Image Formation -- Using Multiple Images -- Vision-Based Control: Vision-Based Control -- Advanced Visual Servoing -- Installing the Toolboxes -- Linear Algebra -- Geometry -- Lie Groups and Algebras.
    Abstract: This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a narrative that covers robotics and computer vision—separately, and together as robotic vision. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on Python and is accompanied by fully open-source Python-based Toolboxes for robotics and machine vision. The new Toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems on a broad range of computing platforms. For the beginning student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.
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  • 53
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    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031132605
    Language: English
    Pages: 1 Online-Ressource(XXIII, 716 Seiten) , Illustrationen
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als The Palgrave handbook of global slavery throughout history
    RVK:
    Keywords: America—History. ; Africa—History. ; World history. ; Labor. ; History. ; Imperialism. ; Social history. ; Africa ; America ; Aufsatzsammlung ; Sklaverei ; Geschichte
    Abstract: 1: Introduction: Historicising and Spatialising Global Slavery; Damian A. Pargas -- Part 1: Ancient Societies (to 500 C.E.) -- 2. Mesopotamian Slavery; Seth Richardson -- 3: Ancient Egyptian Slavery; Ella Karev -- 4: Slavery in Ancient Greece; Kostas Vlassopoulos -- 5: Slavery in the Roman Empire; Noel Lenski -- 6: Injection: An Archaeological Approach to Slavery; Catherine M. Cameron. Part 2: Medieval Societies (500-1500 C.E.) -- 7: Slavery in the Byzantine Empire; Youval Rotman -- 8: Slavery in Medieval Arabia; Magdalena Moorthy-Kloss -- 9: Slavery in the Black Sea Region; Hannah Barker -- 10: Slavery in the Western Mediterranean; Juliane Schiel -- 11: The Question of Slavery in the Inca State; Karoline Noack and Kerstin Nowack -- 12: Injection: A Gender Perspective on Domestic Slavery; Ruth Karras -- Part 3: Early Modern Societies (1500-1800 C.E.) -- 13: Slavery in the Mediterranean; Giulia Bonazza -- 14: Slavery in the Ottoman Empire; Hayri Gökşin Özkoray -- 15: Slavery in the Holy Roman Empire; Josef Köstlbauer -- 16: Slavery and Serfdom in Muscovy and the Russian Empire; Hans-Heinrich Nolte and Elena Smolarz -- 17: Slavery in Late Ming China; Claude Chevaleyre -- 18: Slavery in Chosŏn Korea; Sun Joo Kim -- 19: Slavery in the Indian Ocean World; Titas Chakraborty -- 20: Maritime Passages in the Indian Ocean Slave Trade; Pedro Machado -- 21: The Rise of Atlantic Slavery in the Americas; Michael Zeuske -- 22: Plantation Slavery in the British Caribbean; Trevor Burnard -- 23: Injection: Atlantic Slavery and Commodity Chains; Klaus Weber -- Part 4: Modern Societies (1800-1900 C.E.) -- 24: The Second Slavery in the Americas; Michael Zeuske -- 25: Slavery in the US South; Damian A. Pargas -- 26: Slavery in the Middle East and North Africa; Ismael M. Montana -- 27: Slavery in Islamic West Africa; Jennifer Lofkrantz -- 28: Urban East African Slavery; Michelle Liebst -- 29: Slavery in South Asia; Emma Kalb -- 30: Slavery in Southeastern Europe; Viorel Achim -- 31: Injection: The Global Spread of Abolitionism; William Mulligan -- Part 5: Contemporary Societies (1900-Present) -- 32: American Slaveries since Emancipation; Catherine Armstrong -- 33: Slavery in French West Africa; Benedetta Rossi -- 34: Slave Labor in Nazi Germany; Marc Buggeln -- 35: State-introduced Slavery in Soviet Forced Labor Camps; Felicitas Fischer von Weikersthal -- 36: North Korean Slavery and Forced Labor in Present-Day Europe; Remco Breuker -- 37: Modern Slavery in the Global Economy; Bruno Lamas -- 38: Injection: Modern Slavery and Political Strategy; Joel Quirk -- 39: Conclusion: Situating Slavery Studies in the Field of Global History; Juliane Schiel.
    Abstract: This open access handbook takes a comparative and global approach to analyse the practice of slavery throughout history. In order to understand slavery - why it developed, and how it functioned in various societies – is to understand an important and widespread practice in world civilisations. With research traditionally being dominated by the Atlantic world, this collection aims to illuminate slavery that existed in not only the Americas but also ancient, medieval, North and sub-Saharan African, Near Eastern, and Asian societies. Connecting civilisations through migration, warfare, trade routes and economic expansion, the practice of slavery integrated countries and regions through power-based relationships, whilst simultaneously dividing societies by class, race, ethnicity and cultural group. Uncovering slavery as a globalizing phenomenon, the authors highlight the slave-trading routes that crisscrossed Africa, helped integrate the Mediterranean world, connected Indian Ocean societies and fused the Atlantic world. Split into five parts, the handbook portrays the evolution of slavery from antiquity to the contemporary era and encourages readers to realise similarities and differences between various manifestations of slavery throughout history. Providing a truly global coverage of slavery, and including thematic injections within each chronological part, this handbook is a comprehensive and transnational resource for all researchers interested in slavery, the history of labour, and anthropology. Damian A. Pargas is Professor of North American History and Culture at Leiden University as well as Director of the Roosevelt Institute for American Studies in The Netherlands. Juliane Schiel is Associate Professor of Economic and Social History at the University of Vienna in Austria.
    Note: Open Access
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031320958
    Language: English
    Pages: 1 Online-Ressource(VIII, 232 p. 70 illus., 51 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1100
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation -- A Geometric Perspective on Feature-Based Distillation -- Knowledge Distillation Across Vision and Language -- Knowledge Distillation in Granular Fuzzy Models by Solving Fuzzy Relation Equations -- Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications -- Self-Distillation with the New Paradigm in Multi-Task Learning -- Knowledge Distillation for Autonomous Intelligent Unmanned System.
    Abstract: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.
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  • 55
    ISBN: 9783031297137
    Language: English
    Pages: 1 Online-Ressource(XXVII, 575 p. 160 illus., 128 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Introduction -- Section 1: Fundamentals of the Industry 4.0 -- Fundamental of IoT -- Architecture of IoT -- Automation -- Big data challenges -- Cloud computing services -- convergence of IoT and cloud computing -- Section 2: Emerging trends in Artificial Intelligence -- Knowledge representation -- Machine learning -- Deep learning -- AI based industry automation -- Section 3: AI based data management, architecture and framework -- Algorithms and techniques for data management and cloud -- Reference architectures -- Frameworks for integrating IoT, ML and Cloud -- Section 4: Software Portability and Virtual Machine Design -- Virtual Machine designs -- VM design and programming-language/compiler theory concerns -- Section 5: Security for industry 4.0 -- Industry 4.0 -- Artificial intelligence -- Machine Learning -- Signal Processing -- Multimedia -- Big data -- Software Portability -- Virtual Machines -- Conclusion. .
    Abstract: This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
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  • 56
    ISBN: 9783031155093
    Language: English
    Pages: 1 Online-Ressource(XIII, 408 p. 83 illus., 55 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1433
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science. This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
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  • 57
    ISBN: 9783031162039
    Language: English
    Pages: 1 Online-Ressource(XVII, 721 p. 329 illus., 200 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 149
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Application of Convolutional Neural Network for the Gene Expression Data Classification -- Formation of Subsets of Co-Expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy -- Mathematical Model of Preparing Process of Bulk Cargo for Transportation by Vessel -- Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases -- Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts -- Optimization of Coagulant Dosing Process for Water Purification Based on Artificial Neural Networks -- Methodology for Solving Forecasting Problems Based on Machine Learning Methods -- The Comprehensive Model of Using In-Depth Consolidated Multimodal Learning to Study Trading Strategies in the Securities Market -- Mathematical and Computer Model of the Tree Crown Ignition Process from a Mobile Grassroots Fire -- Features of Complex Application of the Formal Method of EVENT-B for Development of Environmental Management Systems -- Ecology Objects Recognition by Optimized Inverse Filtration Of Textured Background -- Information Technology to Assess the Enterprises' Readiness for Innovative Transformations Using Markov Chains -- Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture -- Leader-Follower Strategy of Fixed-Wing Unmanned Aerial Vehicles via Split Rejoin Maneuvers -- Prognostic Assessment of COVID-19 Vaccination Levels.
    Abstract: This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.
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    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031109560
    Language: English
    Pages: 1 Online-Ressource(X, 262 p. 95 illus., 71 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Topics in Intelligent Engineering and Informatics 16
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Methods for Analyzing Cognitive Architecture -- Cognitive Resonance and the Architecture Issues of Cognitive Information Systems -- Dyspraxia: an experimental clinical model for the study of the embodied cognition -- Role of Presence, Memory and Spatial Ability in a Desktop Virtual Reality -- Experiences and guidelines for developing 3D VR curricula.
    Abstract: Considering the emergence of artificial intelligence, virtual and augmented reality, 3D video and television, and holography, it is logical that we should also begin to create applications and businesses driven by these technologies. The 12 chapters of Accentuated Innovations in Cognitive Info-Communication focus on the research and development of state-of-the-art information in Cognitive Info-Communication. This interdisciplinary research area has emerged as a synergy between Info-Communication and Cognitive Sciences. It presents a synthetic, holistic combination of coherent technologies that will become increasingly important in the coming decade. It is a teaching and reference guide for VR, robotics, virtual classrooms and institutions, and medicine at the undergraduate and postgraduate levels. The discussed book is an immersive learning experience for students and teachers worldwide. In addition, it applies to other fields such as healthcare, performing arts, and television.
    URL: Cover
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  • 59
    ISBN: 9783031160387
    Language: English
    Pages: 1 Online-Ressource(IX, 366 p. 155 illus., 111 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 500
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.
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  • 60
    ISBN: 9783031176975
    Language: English
    Pages: 1 Online-Ressource(XIV, 787 p. 452 illus., 397 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 539
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book presents a collection of articles on the advanced and interdisciplinary application of innovative technologies. Scientific investigations and results of the conference 13th Days of Bosnian-Herzegovinian American Academy of Art and Sciences held in Sarajevo, Bosnia and Herzegovina, June 23-26, 2022, are presented in this book. The up-to-date advances in various fields of engineering have been presented through numerous papers spanning the disciplines of civil engineering, mechanical engineering, advanced electrical power systems, computer modeling and simulations for engineering applications, computer science and artificial intelligence, geodesy and geoinformation, data science and geographic information systems and information and communication technologies. The editors would like to extend special gratitude to all the chairs of the planned symposia of the 13th Days of BHAAAS for their dedicated work in the production of this book.
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031181542
    Language: English
    Pages: 1 Online-Ressource(XII, 275 p. 160 illus., 145 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 234
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Gynecology . ; Midwifery. ; Machine learning.
    Abstract: Baby fever -- Planning a pregnancy with Artificial Intelligence -- “We’re pregnant!”. Artificial Intelligence by your side.
    Abstract: This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
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  • 62
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031201059
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 47 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1063
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Fundamentals of Metaheuristic Computation -- A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionary Computational Techniques -- Comparison of Metaheuristics for Chaotic Systems Estimation -- Comparison Study of Novel Evolutionary Algorithms for Elliptical Shapes in Images -- IIR System Identification using Several Optimization Techniques: A Review Analysis -- Fractional-order Estimation using Locust Search Algorithm -- Comparison of Optimization Techniques for Solar Cells Parameter Identification -- Comparison of Metaheuristics Techniques and Agent-Based Approaches.
    Abstract: This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is 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. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas.
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031164859
    Language: English
    Pages: 1 Online-Ressource(XIII, 208 p. 56 illus., 36 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1067
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Why do companies become similar, but performance is different?: Understanding of Corporate isomorphism through Self-determination -- A Study on the Customer Experience Management (CEM) by Applying Walk-through Audit (WtA); Focused on Hospitality Service Cases -- A Study on the Factors of Positive Psychological Capital on Organizational Citizenship Behavior: For Teachers of Infant Welfare Service Institutions -- The Effect of Self-Determination and Quality of VR-based Education in the Metaverse on Learner Satisfaction -- A Study on Industrial Artificial Intelligence-Based Edge Analysis for Machining Facilities -- AI Recruitment System Using EEG to Explore the Truth of Interviewers -- Development of ESG Evaluation Indicators from a Policy Perspective - Focusing on the Legislature -- A Study on the Analysis of Related Keywords on the Per-ception of Untact Coding Education in the post-COVID era Using Big data Analysis -- Relationship between Narcissism, Self-esteem and youth consumption Behavior -- The Effect of Transformational Leadership on the Volun-teer Members’ Organizational Commitment in Non-profit Organizations: The Moderating Effect of Motives on Volunteering -- Analysis on the Life Cycle of Soundtrack Content in K-pop - Data-driven on music platforms -- Method of Selecting the Optimal Location of Barrier-Free Bus Stops Using Clustering -- Common adverse events following COVID-19 vaccination in patients with type 2 diabetes -- Examining Participant's Perception of SPICE Factors of Metaverse MICE and Its Impact on Participant's Loyalty and Behavioral Intentions -- Kidult Marketing Reflecting the Characteristics of MZ Generation.
    Abstract: This edited book presents scientific results of the 1st ACIS International Symposium on Emotional Artificial Intelligence & Metaverse (EAIM) which was held on August 4-6, 2022, in Danang, Vietnam. The aim of this symposium was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of emotional artificial intelligence and metaverse, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. The symposium organizers selected the best papers from those papers accepted for presentation at the symposium. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the symposium’s most promising papers are then published in this Springer (SCI) book and not the symposium proceedings. We impatiently await the important contributions that we know these authors will bring to the field of emotional artificial intelligence and metaverse.
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  • 64
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031137020
    Language: English
    Pages: 1 Online-Ressource(VII, 153 p. 57 illus., 44 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1000
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Food science. ; Engineering
    Abstract: Application of Artificial Intelligence in the Food Industry: AI-based Automatic Pruning of Dormant Apple Trees -- Wheat Leaf-Disease Detection Using Machine Learning Techniques for Sustainable Food Quality -- Explainable AI and Slime Mould Algorithm for Classification of Pistachio Species -- A Support Vector Machine Model for Rice (Oryza sativa L.) Leaf Diseases Based on Particle Swarm Optimization -- CNN in Agriculture and Food Industry: Current Practices and Future Trends -- Utilization of Artificial Intelligence in the Food Industry -- Transfer learning-based models for Arabica coffee leaf disease classification -- Potential of IoT for Water Monitoring to Upgrade Food Quality -- .
    Abstract: This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.
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  • 65
    ISBN: 9783031205453
    Language: English
    Pages: 1 Online-Ressource(XI, 94 p. 50 illus., 21 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Automation, Collaboration, & E-Services 13
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Microeconomics. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: Introduction to Engineering Applications of Social Welfare -- Routing in Wireless Sensor Networks – Energy Welfare -- Ambulance Dispatching – Preparedness Welfare -- Group Decision Making in Intelligent Shared Environments – Preference Welfare -- Task Allocation in Multi-Robot Systems – Resource Welfare -- Resource Sharing in Cyber-Physical Systems – Utility Welfare -- Conclusion, Limitations, and Research Opportunities.
    Abstract: This book presents social welfare functions as a unified multidisciplinary framework for various resource allocation problems. By measuring the impact of local decisions on broader society, social welfare functions enable “socialized” decisions and thereby produce an emergent property that “global” balance and welfare emerge from “local” welfare-maximizing behaviors. Social welfare functions are originally used in economics to quantify income welfare, jointly considering average and inequality to arrive at better measures of welfare than average alone. Wishing the readers to find opportunities for their problems of interest, this book introduces research results of social welfare functions applied in five different engineering applications, defining welfare metrics pertaining to the characteristics of the application. The “energy welfare” in wireless sensor network measures richness of distributed sensors in energy. The “preparedness welfare” in emergency medical services quantifies the preparedness level of an entire service area by aggregating preparedness levels of individual zones. The “preference welfare” in intelligent shared environments represents the opinions of real people for groups. The “resource welfare” in multi-robot task allocation quantifies the efficiency of utilizing distributed resources across robots. The “utility welfare” in complex cyber-physical systems quantifies the impact of local resource sharing decisions on the broader task communities.
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  • 66
    ISBN: 9783031168321
    Language: English
    Pages: 1 Online-Ressource(VI, 209 p. 96 illus., 70 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1069
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup -- Metaheuristic algorithms in IoT: Optimized Edge Node Localization -- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye fundus images -- Minimum transmission power control for the Internet of Things with swarm intelligence algorithms -- An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System -- A meta-heuristic algorithm based on the happiness model -- Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems -- Optimization of Demand Response -- Fitting curves of ruminal degradation using a metaheuristic approach -- Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques -- Multi-Circle Detection Using Multimodal Optimization.
    Abstract: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.
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  • 67
    ISBN: 9783031195235
    Language: English
    Pages: 1 Online-Ressource(X, 138 p. 29 illus., 23 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: EAI/Springer Innovations in Communication and Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: Introduction -- Perception Enhancement of a Vehicle in a Bad Weather Environment -- Adaptive Backstepping-RBF Control of Lower Limb Exoskeleton -- Advances in Coyote Optimization Algorithm -- Efficient Big Data Architecture Based on Micro Service -- K Semantics for Security Policy Enforcement on Android Applications with Practical Cases -- On the Performance of MIMO Vehicular Visible Light Communications -- An Evaluation Framework for Blockchain-based Public Key Infrastructures -- Intelligent Target Cell Selection Algorithm for Low Latency 5G Networks -- Conclusion.
    Abstract: This book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain. Includes selected papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021); Illustrates recent application of computational intelligence in various applications; Features domains such as health, security, and resilient PKI (public key infrastructure) internet via blockchain.
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  • 68
    ISBN: 9783031074226
    Language: English
    Pages: 1 Online-Ressource(XVII, 457 p. 1 illus.)
    Edition: 1st ed. 2023.
    Series Statement: LIDC Contributions on Antitrust Law, Intellectual Property and Unfair Competition
    Parallel Title: Erscheint auch als
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    Keywords: Information technology—Law and legislation. ; Mass media—Law and legislation. ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Telemarketing. ; Internet marketing. ; Big data. ; Trade regulation. ; Mass media ; Information technology
    Abstract: Part I: Antitrust in Data Driven Markets -- International Report -- Australia -- Austria -- Belgium -- France -- Germany -- Hungary -- Norway -- Switzerland -- United Kingdom -- Part II: Legal Framework for Influencers, Native Advertising and Control over the use of AI in Marketing -- International Report -- Austria -- Brazil -- Germany -- Hungary.
    Abstract: This book gathers contributions from a broad range of jurisdictions, written by practitioners and academics alike, and offers an unparalleled comparative view of key issues in competition law, intellectual property and unfair competition law, with a specific focus on the use of personal data. The first part focuses on the role of competition law in shaping the digital economy. It discusses the use of personal data, the market power of platforms, the assessment of free services, and more broadly the responsibility of dominant companies in the smooth functioning of the digital economy. In turn, the second part sheds light on how the conduct of influencers, native advertising and the use of AI for marketing purposes can be controlled by the law, focusing on the use of personal data and the impact of behavioral advertising on consumers. In this regard, the book brings together the current legal responses across a number of European and other countries, all summarized and elaborated on in the form of two international reports. The LIDC is a long-standing international association that focuses on the interface between competition law and intellectual property law, including unfair competition issues.
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  • 69
    ISBN: 9783031223563
    Language: English
    Pages: 1 Online-Ressource(XIII, 260 p. 75 illus., 65 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 603
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book presents the latest research on Ambient Intelligence including software and applications. Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence, where computers are used as proactive tools assisting people with their day-to-day activities, making everyone’s life more comfortable. The inclusion of computational power and communication technologies in everyday objects is growing, and their embedding into our environments should be as invisible as possible. In order for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and happen without people actually noticing it. The only awareness people should have arises from AmI: more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence, aiming to bring together researchers from various disciplines that constitute the scientific field of AmI to present and discuss the latest results, new ideas, projects and lessons learned.
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  • 70
    ISBN: 9783031097539
    Language: English
    Pages: 1 Online-Ressource(XLI, 790 p. 351 illus., 287 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures volume 1
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
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  • 71
    ISBN: 9783031212291
    Language: English
    Pages: 1 Online-Ressource(XVIII, 462 p. 131 illus., 99 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 595
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book constitutes the refereed proceedings of the 4th International Congress on Blockchain and Applications 2022, BLOCKCHAIN’22, held in L’Aquila, Italy, in July 2022. Among the scientific community, blockchain and artificial intelligence are a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and artificial intelligence should be used together. The 37 full papers presented in the main track were carefully reviewed and selected from more than 75 submissions. They contain the latest advances on blockchain and artificial intelligence and on their application domains, exploring innovative ideas, guidelines, theories, models, technologies, and tools and identifying critical issues and challenges that researchers and practitioners must deal with in the future research. The book also includes 3 papers from the WEB3-TRUST workshop and 2 papers from the Doctoral Consortium.
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  • 72
    ISBN: 9783031223716
    Language: English
    Pages: 1 Online-Ressource(XII, 193 p. 78 illus., 59 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 236
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Data protection.
    Abstract: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    Abstract: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
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  • 73
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031224089
    Language: English
    Pages: 1 Online-Ressource(XIII, 234 p. 67 illus., 47 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 5
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Conceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens’ Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia.
    Abstract: This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.
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  • 74
    ISBN: 9783031286940
    Language: English
    Pages: 1 Online-Ressource(XXX, 683 p. 324 illus., 264 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 655
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: 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 interconnections 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.
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  • 75
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031297175
    Language: English
    Pages: 1 Online-Ressource(VIII, 383 p. 179 illus., 138 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 659
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Advances in the use of artificial intelligence and sensor technologies for managing industrial workplace safety -- Implementation of deep learning to prevent peak-driven power outages within manufacturing systems -- Reproductive autonomy conformity assessment of purposed AI system -- The projects evaluation and selection by using MCDM and intuitionistic fuzzy sets -- Cost effectiveness analysis of real and in silico clinical trials for stent deployment based on decision tree.
    Abstract: The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022.
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  • 76
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031287152
    Language: English
    Pages: 1 Online-Ressource(X, 486 p. 257 illus., 202 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1093
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Artificial intelligence.
    Abstract: Efficient Machine Learning of Mobile Robotic Systems based on Convolutional Neural Networks -- UAV Path Planning Based on Deep Reinforcement Learning -- Drone Shadow Cloud: A New Concept to Protect Individuals from Danger Sun Exposure in GCC Countries -- Accurate Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method for High-speed Target Interception -- Robotics and Artificial Intelligence in the Nuclear Industry: from Tele-operation to Cyber-physical Systems -- Deep Learning and Robotics, Surgical Robot Applications -- Deep Reinforcement Learning for Autonomous Mobile Robot Navigation -- Event Vision for Autonomous Off-road Navigation -- Multi-armed Bandit Approach for Task Scheduling of a Fixed-Base Robot in the Warehouse -- Machine Learning and Deep Learning for Robotics Applications -- A Review on Deep Learning on UAV Monitoring Systems for Agricultural Applications -- Navigation and Path Planning Techniques for UAV Swarm -- Intelligent Control System for Hybrid Electric Vehicle with Autonomous Charging -- Advanced Sensor Systems for Robotics and Autonomous Vehicles -- Four Wheeled Humanoid Second-Order Cascade Control of Holonomic Trajectories.
    Abstract: This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics. .
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  • 77
    ISBN: 9783031304033
    Language: English
    Pages: 1 Online-Ressource(IX, 185 p. 34 illus., 9 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 471
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Operations research.
    Abstract: Basic concepts of voting -- Preferential voting based on data envelopment analysis -- Group preferential voting -- Applications of preferential voting in industry and society.
    Abstract: This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support. This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming. This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.
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  • 78
    ISBN: 9783031319525
    Language: English
    Pages: 1 Online-Ressource(XI, 392 p. 102 illus., 42 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 6
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: From Smart Devices to Smarter Systems: The Evolution of Artificial Intelligence of Things (AIoT) with Characteristics, Architecture, Use cases and Challenges -- AI enabled human and machine activity monitoring in Industrial IoT systems -- AI Model for Block-chain Based Industrial IoT and Big Data Analytics -- SIMDPS: Smart Industry Monitoring And Disaster Prediction System -- An Artificial Intelligence Based Sustainable Approaches - IoT Systems for Smart Cities -- Empowering Artificial Intelligence of Things (AIoT) toward Smart Healthcare Systems -- AI Enabled Internet of Medical Things In Smart Healthcare -- AI Model for Blockchain based Industrial Application in Healthcare IoT.
    Abstract: The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
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  • 79
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031117480
    Language: English
    Pages: 1 Online-Ressource(VIII, 371 p. 90 illus., 80 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Adaptation, Learning, and Optimization 27
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: An Introduction to Federated and Transfer Learning -- Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art -- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms -- Cross-silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems -- A Unifying Framework for Federated Learning -- A Contract Theory based Incentive Mechanism for Federated Learning -- A Study of Blockchain-based Federated Learning -- Swarm Meta Learning -- Rethinking Importance Weighting for Transfer Learning -- Transfer Learning via Representation Learning -- Modeling Individual Humans via a Secondary Task Transfer Learning Method -- From Theoretical to Practical Transfer Learning: The Adapt Library -- Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning -- A Study on Efficient Reinforcement Learning Through Knowledge Transfer -- Federated Transfer Reinforcement Learning for Autonomous Driving.
    Abstract: This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
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  • 80
    Online Resource
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031164002
    Language: English
    Pages: 1 Online-Ressource(XIV, 423 p. 1 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1062
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Algebraic function induced Banach space valued ordinary and fractional neural network approximations -- Gudermannian function induced Banach space valued ordinary and fractional neural network approximations -- Generalized symmetrical sigmoid function induced Banach space valued ordinary and fractional neural network approximations -- Abstract multivariate algebraic function induced neural network approximations -- General multivariate arctangent function induced neural network approximations -- Abstract multivariate Gudermannian function induced neural network approximations -- Generalized symmetrical sigmoid function induced neural network multivariate approximation -- Quantitative Approximation by Kantorovich-Choquet quasi-interpolation neural network operators revisited -- Quantitative Approximation by Kantorovich-Shilkret quasi-interpolation neural network operators revisited -- Voronsovkaya Univariate and Multivariate asymptotic expansions for sigmoid functions induced quasi-interpolation neural network operators revisited -- Univariate Fuzzy Fractional various sigmoid function activated neural network approximations revisited -- Multivariate Fuzzy Approximation by Neural Network Operators induced by several sigmoid functions revisited -- Multivariate Fuzzy-Random and stochastic various activation functions activated Neural Network Approximations.
    Abstract: This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels. Iterated-sequential approximations are also covered. The book’s results are expected to find applications in the many areas of applied mathematics, computer science and engineering, especially in artificial intelligence and machine learning. Other possible applications can be in applied sciences like statistics, economics, etc. Therefore, this book is suitable for researchers, graduate students, practitioners, and seminars of the above disciplines, also to be in all science and engineering libraries.
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  • 81
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031183447
    Language: English
    Pages: 1 Online-Ressource(XII, 817 p. 316 illus., 227 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 561
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
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  • 82
    ISBN: 9783031199585
    Language: English
    Pages: 1 Online-Ressource(XXI, 1200 p. 513 illus., 386 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 569
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Development of UAV Deployment System using Split Ring Compound Planetary Gear System -- Factors influencing the development of digital citizenship on social media platforms: Narrative review -- A Policy Framework for Improving E-Waste Management in Bangladesh -- Impact of Financial Inclusion on Social and Economic Wellbeing of households: A Case of Kaski District, Nepal -- Minimizing E-Waste Through Improved Virtualization -- A Hybrid Hotel Recommendation Using Collaborative, Content Based and Knowledge Based approach -- Training Tracker: A Training Management System -- Analysis and Forecasting of Final Household Expenditure in South Africa Using Box-Jenkins – ARIMA Model.
    Abstract: This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! It is a Master Piece of what our community of academics and experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Modern Operational Research and Experience of the World-Leader Springer Nature! The 5th edition of International Conference on Intelligent Computing and Optimization took place at October 27–28, 2022, via Zoom. Objective was to celebrate “Creativity with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the planet, to share knowledge, experience, innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO’2022 is published by Springer Nature—Quality Label of wonderful. .
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  • 83
    ISBN: 9783031196201
    Language: English
    Pages: 1 Online-Ressource(XVI, 531 p. 156 illus., 94 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 566
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented in the main track of IITI 2022, the Sixth International Scientific Conference on Intelligent Information Technologies for Industry held on October 31 - November 6, 2022, in Istanbul, Turkey. The works were written by the experts in the field of artificial intelligence including topics such as machine learning, decision making intelligent systems, fuzzy logic, bioinspired systems and Bayesian networks. The following industrial application domains were touched: railway automation, intelligent medical systems, flexible socio-technical systems, navigation systems 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.
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  • 84
    ISBN: 9783031170249
    Language: English
    Pages: 1 Online-Ressource(XIV, 112 p. 25 illus., 16 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 553
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Bioinformatics.
    Abstract: This book is suitable for researchers and practitioners in biology, medicine and health sciences and bioinformatics. The success of bioinformatics and computational biology in recent years has been driven by research through computational tools and techniques that are essential for data analysis in modern biology and medicine. Systems biology is a related research area that has been replacing the reductionist view that dominated biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modelling, computer simulation and optimization. The accumulation and exploitation of large-scale databases prompt new computational technology and for research into these issues. In this context, many widely successful computational models and tools used by biologists in these initiatives, such as clustering and classification methods for gene expression data, are based on computer science/ artificial intelligence (CS/AI) techniques. In fact, these methods have been helping in tasks related to knowledge discovery, modelling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted. This proceedings of the 16th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB), held in L’Aquila (Italy) from July 13 to 15, 2022, contains ten original contributions of authors from many different countries (Bahrain, Canada, France, Italy, Portugal, Saudi Arabia, Spain, and UK) and different subfields in bioinformatics and computational biology. It is also suitable for artificial intelligence researchers interested in exploring applications in biology and health sciences and computational models.
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  • 85
    ISBN: 9783031173936
    Language: English
    Pages: 1 Online-Ressource(X, 157 p. 95 illus., 91 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Fuzziness and Soft Computing 421
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Artificial intelligence.
    Abstract: Chapter 1: An Introduction to Fuzzy and Fuzzy Control Systems -- Chapter 2: Classification of Adaptive Fuzzy Controllers -- Chapter 3: Type-2 Fuzzy Systems -- Chapter 4: Training Interval Type-2 Fuzzy Systems Based on Error Backpropagation.
    Abstract: This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.
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  • 86
    ISBN: 9783031182921
    Language: English
    Pages: 1 Online-Ressource(X, 181 p. 61 illus., 46 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1072
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Explainable Artificial Intelligence: Concepts and Current Progression -- Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives -- Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment approaches towards amenable XAI -- Explainable AI (XAI): A Survey of Current and Future Opportunities -- Recent Challenges on Edge AI with its application: A Brief Introduction -- Explainable Artificial Intelligence in Health Care: How XAI Improves User Trust in High-Risk Decisions -- Role of Explainable Edge AI to Resolve Real Time Problem -- Explainable Data Fusion on Edge: Challenges and Opportunities -- Trust Model Based Data Fusion in Explainable Artificial Intelligence for Edge Computing Using Secure Sequential Discriminant Auto Encoder with Lightweight Optimization Algorithm -- A Deep Learning Based Target Coverage Protocol for Edge Computing Enabled Wireless Sensor Networks.
    Abstract: This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.
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  • 87
    ISBN: 9783031147715
    Language: English
    Pages: 1 Online-Ressource(XXII, 416 p. 101 illus., 91 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1060
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Engineering
    Abstract: Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge -- Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups -- EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text.
    Abstract: This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.
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  • 88
    ISBN: 9783031107887
    Language: English
    Pages: 1 Online-Ressource(XII, 673 p. 329 illus., 320 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Automation, Collaboration, & E-Services 12
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: Don’t Stand so Close to Me: Acceptance of delegating intimate health care tasks to assistive robots -- Designing a Voice Intelligent Agent: A Review and Appraisal -- Job crafting & re-design in a rapidly changing world of work: A bibliometric analysis & review -- Resilience Engineering and Safe Work Method Statements in Construction Projects -- Agent Transparency for Human-Autonomy Teaming -- Cuteness Engineering and UX Design -- Small screen-large information challenge for older adults: navigating through big pictures and menus of mobile phones.
    Abstract: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic areas: mobile computing. Main areas of coverage include Section A: Health, Care and Assistive Technologies; Section B: Usability, User Experience and Design; Section C: Virtual Learning, Training and Collaboration; Section D: Ergonomics in Work, Automation and Production. In total, there are more than 600 pages emphasizing contributions from especially early career researchers that were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. .
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  • 89
    ISBN: 9783031054914
    Language: English
    Pages: 1 Online-Ressource(XVIII, 398 p. 150 illus., 107 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 314
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering mathematics. ; Engineering
    Abstract: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    Abstract: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
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  • 90
    Online Resource
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031199004
    Language: English
    Pages: 1 Online-Ressource(XVII, 193 p. 75 illus., 74 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 568
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction -- AI and Its Wider Impact -- Public Administration and Technology in Malta -- AI Adoption. .
    Abstract: The book presents a unique study on the Artificial Intelligence (AI) readiness of public administrations focusing on the Maltese public administration as a case study. This was conducted following the launch of the Malta AI National Strategy in 2019. Since the Maltese public administration is the driving force behind the integration of AI solutions nationwide, the research is deemed necessary to understand whether the public workforce itself is ready to face the oncoming AI revolution. The researchers applied a mixed-methods approach to gain insight and a broader perspective of the status quo concerning AI adoption. Important considerations that stem from this study include the need for increased AI knowledge among public administrators since the majority of respondents reported a lack of awareness of AI technologies and their deployment. Understanding AI-related advantages must be accompanied by a robust instructional effort at all levels of education. It was unanimously agreed that the early inclusion of AI-related courses in the Maltese educational system will aid in developing a future AI-savvy workforce. Furthermore, upskilling and reskilling the public officers will facilitate knowledgeable human capital and proficiencies required to effectively integrate AI solutions within society. The study concludes by recommending several critical reforms within governments that will improve the AI-readiness factor of any Public Administration.
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  • 91
    ISBN: 9783031207389
    Language: English
    Pages: 1 Online-Ressource(XXVII, 1508 p. 650 illus., 454 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 153
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Multiple Layers Global Average Pooling Fusion -- Han Dynasty Clothing Image Classification Model Based on KNN-Attention and CNN -- Self-attention SSD Network Detection Method of X-ray Security Images -- Cross Architecture Function Similarity Detection with Binary Lifting and Neural Metric Learning -- Pain Expression Recognition Based on Dual-channel Convolutional Neural Network -- A Noval Air Quality Index Prediction Scheme Based On Long Short-Term Memory Technology -- Code Summarization through Learning Linearized AST Paths with Transformer -- Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep Encoders -- Ease Solidity Smart Contract Compilation through Version Pragma Identification -- Towards Robust Similarity Detection of Smart Contracts with Masked Language Modelling -- DeSG: Towards Generating Valid Solidity Smart Contracts with Deep Learning -- Combining AST Segmentation and Deep Semantic Extraction for Function Level Vulnerability Detection -- A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction.
    Abstract: This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems, and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems, and knowledge discovery. The work printed in this book was presented at the 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.
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  • 92
    Online Resource
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031220425
    Language: English
    Pages: 1 Online-Ressource(X, 252 p. 82 illus., 52 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1061
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: On Decision Making Applications Via Distance Measures -- On Intuitionistic Fuzzy Abstract Algebras -- Generalization of Intuitionistic Fuzzy Submodules of a Module by using Triangular Norms and Conorms and (T, S)-L Subrings -- Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of fuzzy adaptation and tests on benchmark functions and Mackey Glass neural network -- Fuzzy classifier using the optimization algorithm by means of particles for the diagnosis of arterial hypertension -- A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem -- A comparison between MFCC and MSE features for text-independent speaker recognition using machine learning algorithms -- Forecasting based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas -- Bio-Inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network -- Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control -- Optimizing a convolutional neural network with a hierarchical genetic algorithm for diabetic retinopathy detection -- Interval Type-3 Fuzzy Systems: a natural evolution from type-1 and type-2 fuzzy systems -- A comparative study between bird swarm algorithm and artificial gorilla troops optimize -- Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification.
    Abstract: This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.
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  • 93
    Online Resource
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    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031212161
    Language: English
    Pages: 1 Online-Ressource(XV, 836 p. 641 illus., 526 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 591
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Energy policy. ; Energy and state. ; Renewable energy sources. ; Artificial intelligence.
    Abstract: In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
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  • 94
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    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031160080
    Language: English
    Pages: 1 Online-Ressource (XIX, 425 p. 11 illus., 9 illus. in color.)
    Edition: 8th ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als Aliber, Robert Z., 1930 - Manias, panics, and crashes
    RVK:
    RVK:
    RVK:
    Keywords: Finanzkrise ; Spekulation ; Bankenkrise ; Wirtschaftskrise ; Geldgeschichte ; Bankgeschichte ; Finanzkrise ; Lender of Last Resort ; Welt ; USA ; Financial crises ; Business cycles ; Depressions ; Macroeconomics. ; Finance. ; History. ; Economic history. ; Financial services industry. ; International relations. ; Financial crises ; Financial history ; Financial crashes ; Global financial crisis ; Financial markets ; Financial bubbles ; National banking systems ; Asset-price bubbles ; Exchange-rate volatility ; International financial systems ; Economic history ; Lender of last resort ; International economy ; Liquid capital ; Capital markets ; Housing based credit bubbles ; Minksy moment ; Japanese bubble of late 1980s ; Credit fueled price bubbles ; Cryptocurrencies ; Finanzkrise ; Bankenkrise ; Depression ; Geschichte ; Finanzwirtschaft ; Spekulation ; Börsenkrach ; Krise ; Weltwirtschaft ; Geschichte
    Abstract: 1: Financial Crises: a Hardy Perennial -- 2: The Anatomy of a Typical Crisis.-3: Speculative Manias -- 4: Fueling the Flames: the Expansion of Credit -- 5: The Critical Stage – When the Bubble Is About To Pop -- 6: Bernie Madoff: Frauds, Swindles, and the Credit Cycle -- 7: Domestic Contagion: Twin Peaks? -- 8: International Contagion 1618–1933 -- 9: Bubble Contagion: Mexico City to Tokyo to Bangkok to New York, London, and Reykjavik -- 10: Policy Responses: Benign Neglect, Exhortation, and Bank Holidays -- 11: The Domestic Lender of Last Resort -- 12: The International Lender of Last Resort before 2000.-13: The 21st Century International Lender of Last Resort -- 14: Bitcoin: Worse than a Ponzi -- 15 The Lessons of History.
    Abstract: In the Eighth Edition of this classic text on the financial history of bubbles and crashes, Robert McCauley joins with Robert Aliber in building on Charles Kindleberger's renowned work. McCauley draws on his central banking experience to introduce new chapters on cryptocurrency and the United States as the 21st Century global lender of last resort. He also updates the book's coverage of the recent property bubble in China, as well as providing new perspectives on the US housing bubble of 2003-2006, and the Japanese bubble of the late 1980s. And he gives new attention to the social psychology that leads people to take the risk of investing in Ponzi schemes and asset price bubbles. For the first time in this revised and updated edition, figures highlight key points to ensure that today’s generation of finance and economic researchers, students, practitioners and policy-makers—as well as investors looking to avoid crashes—have access to this panoramic history of financial crisis.
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  • 95
    ISBN: 9783031262548
    Language: English
    Pages: 1 Online-Ressource(XXIII, 925 p. 514 illus., 402 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 635
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.
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  • 96
    ISBN: 9783031290565
    Language: English
    Pages: 1 Online-Ressource(XXIX, 577 p. 249 illus., 188 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 661
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: 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 interconnections 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.
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  • 97
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031263323
    Language: English
    Pages: 1 Online-Ressource(XII, 265 p. 140 illus., 114 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Fuzziness and Soft Computing 425
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Application of interval type-2 fuzzy logic control approach to the lower-limb exoskeleton -- Chapter 2: A Simplified Model of an Interval Type-2 Takagi-Sugeno Fuzzy PID Controller using 1- D Input Space -- Chapter 3: Fractional order Type-2 fuzzy Logic controllers -- Chapter 4: Artificial Bee Colony Optimized a new Precompensated Interval Type-2 Fuzzy Logic Controller for a Magnetic Levitation System -- Chapter 5: Application of Type-2 Fuzzy Logic Controllers in Renewable Energy Systems. .
    Abstract: This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc. The book is also rich in discussing different applications in order to give the researchers a flavor of how type-2 fuzzy logic is designed for different types of problems. Type-2 fuzzy logic systems are now used extensively in engineering applications for many purposes. In simple language, this book covers the practical use of type-2 fuzzy logic and its optimization through different training methods. Furthermore, this book maintains the relationship between mathematics and practical implementations in the real world. This book chapter also contains the proper comparisons with available literature work. It shows that the presented enhanced techniques have better results. This book would serve as a handy reference guide for a variety of readers, primarily targeting research scholars, undergraduate and postgraduate researchers and practicing engineers working in Type-2 fuzzy logic systems and their applications. .
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  • 98
    ISBN: 9783031266331
    Language: English
    Pages: 1 Online-Ressource(X, 316 p. 64 illus., 40 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 162
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data. ; Artificial intelligence. ; Internet programming. ; Engineering
    Abstract: Serverless Computing: New Trends and Future Directions -- Punching Holes in the Cloud: Direct Communication Between Serverless Functions -- Hybrid Serverless Computing: Opportunities and Challenges -- A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing Environments -- Open-Source Serverless for Edge Computing: A Tutorial -- Accelerating and Scaling Data Products With Serverless -- QoS Analysis for Serverless Computing using Machine Learning -- A Blockchain-Enabled Serverless Approach for IoT Healthcare Applications -- Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing -- Scheduling Mechanisms in Serverless Computing -- Serverless Cloud Computing: State of the Art and Challenges.
    Abstract: This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services.
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  • 99
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031072628
    Language: English
    Pages: 1 Online-Ressource(XXIV, 819 p. 651 illus. in color.)
    Edition: 3rd ed. 2023.
    Series Statement: Springer Tracts in Advanced Robotics 147
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als Corke, Peter I., 1959 - Robotics, vision and control
    RVK:
    RVK:
    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Computer vision. ; Signal processing. ; Cognitive psychology. ; Robotik ; Künstliche Intelligenz
    Abstract: Introduction.-Foundations: Representing Position and Orientation -- Time and Motion -- Mobile Robotics: Mobile Robot Vehicles -- Navigation -- Localization and Mapping -- Robot Manipulators: Robot Arm Kinematics -- Manipulator Velocity -- Dynamics and Control -- Computer Vision: Light and Color -- Images and Image Processing,- Image Feature Extraction,- Image Formation -- Using Multiple Images -- Installing the Toolboxes -- Linear Algebra -- Geometry -- Lie Groups and Algebras.
    Abstract: This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on MATLAB® and a number of MathWorks® toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision. These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student, the book makes the algorithms accessible, the toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on toolbox functions. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows.
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  • 100
    ISBN: 9783031319563
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 753 p. 386 illus., 293 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 7
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Sentiment Analysis in Turkish using Transformer-based Deep Learning Models -- Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range -- Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods -- Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems -- A Color Channel Based Analysis on Image Tessellation -- Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN) -- Change of the Internet with Blockchain and Metaverse Technologies -- A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets -- Decision Trees in Causal Inference -- The Resilience of Unmanned Aerial Vehicles to Cyberattacks and Assessment of Potential Threats.
    Abstract: As general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.
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