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  • MPI Ethno. Forsch.  (1,049)
  • English  (1,049)
  • 2020-2024  (1,049)
  • Artificial intelligence.  (867)
  • Political science
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Material
Language
Years
Year
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Book
    Book
    The history of government from the earliest times (1999-)
    Oxford [u.a.] : Oxford Univ. Press
    Details
    Language: English
    Pages: 24 cm
    DDC: 320.09
    Keywords: Political science ; Comparative government ; Regierung ; Geschichte ; Staat ; Politisches System
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    MPI Ethno. Forsch.
  • 2
    Book
    Book
    Collected papers of Herbert Marcuse (1998-)
    London [u.a.] : Routledge
    Details
    Language: English
    Keywords: Philosophy ; Critical theory ; Sociology ; Philosophy ; Political science ; Philosophy
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    Book
    MPI Ethno. Forsch.
  • 3
    Book
    Book
    Selected writings (2017-)
    Oxford : Oxford University Press
    Details
    Language: English
    Series Statement: Oxford constitutional theory
    DDC: 342
    RVK:
    PI 2300
    Keywords: Law Philosophy ; State, The ; Political science ; Constitutional law ; Constitutional law ; Political science ; State, The ; Constitutional law ; Political science ; State, The ; Electronic books
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Legal Aspects of Autonomous Systems : A Comparative Approach (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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.
    DOI: 10.1007/978-3-031-47946-5
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Blue Book on AI and Rule of Law in the World (2021) (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990856
    Language: English
    Pages: 1 Online-Ressource(XV, 458 p. 92 illus., 89 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Artificial Intelligence and the Rule of Law
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Information technology ; Mass media
    Abstract: AI Laws and Policies -- Theoretical Research on AI and the Rule of Law -- Application of AI in the Rule of Law -- Analysis of Al-Related Cases -- Report on the Development of AI and the Rule of Law -- Expert Interviews on Development of AI and the Rule of Law -- Interviews with AI Companies on the Rule of Law.
    Abstract: This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research and practical application, etc. It makes an in-depth analysis so as to provide an objective, fair and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies, ensuring the safe, reliable, controllable, healthy and sustainable development of AI. It is hoped that this book may provide useful reference for researchers of AI and law.
    DOI: 10.1007/978-981-99-9085-6
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  • 6
    Online Resource
    Online Resource
    Challenging global development : towards decoloniality and justice (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031303081
    Language: English
    Pages: 1 Online-Ressource (xiii, 260 Seiten) , Illustrationen
    Edition: 1st ed. 2024
    Series Statement: EADI global development series
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Economic development. ; Sociology. ; Anthropology. ; Political science ; Entwicklungspolitik ; Entwicklungsmodell ; Entkolonialisierung ; Alternative ; Soziale Gerechtigkeit ; Weltordnung ; Erde
    Abstract: Chapter 1.Rethinking development and decolonising development studies -- Chapter 2. Essentialist approaches to global issues: the ontological limitations of development studies -- Chapter 3. Beyond the Sustainable Development Goals: Post-development Alternatives -- Chapter 4. In search of alternatives to development: learning from grounded initiatives -- Chapter 5. Why Is Development Elusive? Structural Adjustments of Africa in the Longue durée -- Chapter 6. Cultivating post-development: pluriversal transitions and radical spaces of engagement -- Chapter 7. Beyond Deconstruction and Toward Decoloniality: Pedagogy and Curriculum Design in SWANA & South Asia Studies in US Higher Education -- Chapter 8. Data collection versus knowledge theft: relational accountability and the research ethics of Indigenous knowledges -- Chapter 9. Assuming power in new forms: Learning to feel ‘with the other’ in decolonial research -- Chapter 10. Development and Post-development in a Time of Crisis -- Chapter 11. South-South Cooperation and Decoloniality -- Chapter 12. Decolonising Development Management: Epistemological Shifts and Practical actions -- Chapter 13. What is ‘development’, and can we ‘decolonise’ it? Some ontological and epistemological reflections -- Chapter 14. EADI Roundtable: Re-casting development studies in times of multiple crises.
    Abstract: This open access book presents contributions to decolonize development studies. It seeks to promote and sustain new forms of solidarity and conviviality that work towards achieving social justice.Recognising global poverty and inequalities as historic injustices, the book addresses how these can be challenged through teaching, research, and engagement in policy and practice, and the sorts of political barriers these might encounter. From a variety of perspectives and contexts, these chapters examine how decoloniality and solidarity can be developed, offering in-depth historical, theoretical, epistemological, and empirical analyses. Henning Melber is Extraordinary Professor at the Department of Political Sciences, University of Pretoria, and at the Centre for Gender and Africa Studies, University of the Free State in Bloemfontein, South Africa. Uma Kothari is Professor of Migration and Postcolonial Studies at the Global Development Institute, University of Manchester, UK. Laura Camfield is Professor of Development Research and Evaluation and Head of the School of International Development at the University of East Anglia (UEA), UK. Kees Biekart is Associate Professor of Political Sociology at the International Institute of Social Studies (ISS) of Erasmus University, the Netherlands.
    Note: Open Access , Literaturverzeichnisse, Literaturhinweise
    DOI: 10.1007/978-3-031-30308-1
    URL: kostenfrei
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  • 7
    Online Resource
    Online Resource
    César Vallejo : A Poet of the Event (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031335136
    Language: English
    Pages: 1 Online-Ressource(XIV, 227 p.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Revolution and Literature
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Latin American literature. ; Poetry. ; Social sciences ; Political science
    Abstract: 1. Introduction -- 2. A Poet of the "Ethics of the Real" -- 3.A Poet of the Language Crisis -- 4. A Poet of the "Part With No Part” -- 5. A Poet Who Announces the Event -- 6. A Poet of the Communist Event -- 7. A Poet of "Lost Causes” -- 8. Vallejo and Political: Art Beyond Death (Conclusions).
    Abstract: “This book reveals that the political reading of Vallejo's poetry demands that we radically rethink politics itself. The singular ethical force of this poetry resides there. We have to think reality from the excess, that is, from what does not fit in ideological schematisms, nor in the concepts themselves. With a great pedagogical spirit, through lucid theoretical expositions and precise commentaries on the texts, this book shows us that Vallejo wrote a poetry that is absolutely alive for our times: a poetry that demands that we live in a different way.” —William Rowe, Birkbeck College, University of London, UK “From this careful study, César Vallejo emerges as a poet-witness of the event, ready to assume the constitutive flaw of the human being but capable of affirming the radical possibility of a communist politics of equality. By following the philosophy of Alain Badiou, as well as the clues of other thinkers (from Marx to Mariátegui, from Butler to Žižek), Víctor Vich has succeeded in producing an original, new, and other Vallejo.” —Bruno Bosteels, Columbia University, USA This book argues that the poetry of César Vallejo announces the event, as a moment of irruption of a truth that destabilises the usual state of reality. It studies the emergence of a subject who affirms a truth that exceeds the law, interrupts hegemonic repetition, asserts universal solidarity, and defends "lost causes" despite political failure. The author reconfigures the traditional reading of Vallejo only as a poet of pain and human suffering, and offers new ways of understanding the relationship between poetry and politics. Víctor Vich is Professor at the Pontificia Universidad Católica del Perú in Lima. He has been a visiting Professor at several universities in the United States and has published various books about Peruvian poetry. He won the Guggenheim grant in 2010.
    DOI: 10.1007/978-3-031-33513-6
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  • 8
    Online Resource
    Online Resource
    British Modern International Thought in the Making : Politics and Economy from Hobbes to Bentham (2024)
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031457135
    Language: English
    Pages: 1 Online-Ressource(XII, 314 p. 3 illus., 1 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: International Political Theory
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Political science. ; Europe ; Political science ; World politics.
    Abstract: Chapter 1: Benjamin Bourcier and Mikko Jakonen: Introduction -- Part I: Early Modern British International Thought -- Chapter 2: Carlos Eduardo Suprinyak: Grotius Among the English Merchants: Mare Liberum and Anglo-Dutch Rivalry in the Early Seventeenth Century -- Chapter 3: Mikko Jakonen: Hobbes and the Problem of International Trade -- Chapter 4: Daniel Layman: Locke’s Conflicted Cosmopolitanism: Individualism and Empire -- Part II: The Scottish School of Political Economy within International Thought -- Chapter 5: Erik W. Matson: “To Keep Industry Alive”: Hume on Freer International Trade as Moral Improvement -- Chapter 6: Edwin van de Haar: Human Nature as the Foundation of Adam Smith’s International Theory -- Chapter 7: Benoît Walraevens: Colonization, Commerce and Global History: Adam Smith and Raynal’s Histoire des Deux Indes -- Chapter 8: Laurie Bréban & Jean Dellemotte: Remote Encounters of a Distant Kind: Natives and Westerners in Adam Smith’s International Thought -- Part III: Bentham’s Political Economy and International Theory -- Chapter 9: Nathalie Sigot: One Conclusion and Two Explanations: Bentham’s Economic Analysis of International Trade -- Chapter 10: Michael Quinn: Bentham via Dumont on the Balance of Trade -- Chapter 11: Benjamin Bourcier: Jeremy Bentham’s Politics of Global Commerce as a Limit-Case -- Chapter 12: Eileen M. Hunt: Women’s Misery and Women’s Rights in International Law and Literature: Wollstonecraft, Malthus, Bentham, and Shelley.
    Abstract: “For those reared on a diet of Saint Pierre, Rousseau and Kant, it will come as a shock to find that British international thought often pre-empted their ideas or developed them separately, based on a deep understanding of commerce and the global balance of powers.” —Peter Niesen, Hamburg University “Britain’s transformation into an economic powerhouse over the course of the seventeenth and eighteenth centuries was matched by a formidable group of contributors to economic theory and international political thought. This excellent volume canvasses the ideas of over a dozen prominent “economists,” including Hobbes, Locke and Bentham, as well as Hume and Smith. The work will prove a major resource to scholars in philosophy, the history of political economy, and international relations.” —Margaret Schabas, University of British Columbia-Vancouver, Canada This book articulates international political theory in dialogue with economics on several questions. It asks: how has modern international theory been adjusted and nourished by economic ideas, theories and practices? How far has the distinctive contribution of some theorists to international theory been informed by their views on economy? What has been the impact of the theory of the state for economic and international theory? What sort of economic thinking has led to revise the debates constitutive for the modern international realm? How have economic debates been rhetorically connected to political debates in the field of international relations? Benjamin Bourcier is Associate Professor of Philosophy, ESPOL, Catholic University of Lille, France. His main research interests include the history of international political thought, cosmopolitanism, Jeremy Bentham, the enlightenment. Mikko Jakonen is Professor of Social and Public Policy, University of Eastern Finland. His main research interests are in social policy, work, economy, social theory and history of political thought.
    DOI: 10.1007/978-3-031-45713-5
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  • 9
    Online Resource
    Online Resource
    Business Data Ethics : Emerging Models for Governing AI and Advanced Analytics (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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
    DOI: 10.1007/978-3-031-21491-2
    URL: kostenfrei
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  • 10
    Online Resource
    Online Resource
    Multidisciplinary perspectives on artificial intelligence and the law (2024)
    Cham : Springer
    Details
    ISBN: 9783031412653
    Language: English
    Pages: 1 Online-Ressource (XV, 456 Seiten) , Diagramme, Porträts
    Series Statement: Law, governance and technology series Volume 58
    Series Statement: Law, governance and technology series
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Information technology ; Mass media ; Artificial intelligence. ; Computers ; Aufsatzsammlung
    Abstract: Part I Scientific, technological and societal achievements in Artificial Intelligence -- Introduction to Part I -- 1. Artificial intelligence: historical context and state of the art -- 2. The impact of language technologies in the legal domain -- 3. Societal implications of recommendation systems: a technical perspective -- 4. Data-driven approaches in healthcare: challenges and emerging trends -- 5. Security and privacy -- Part II. Ethical and legal challenges in Artificial Intelligence -- Introduction to Part II -- 1. Before and beyond Artificial Intelligence: opportunities and challenges -- 2. Autonomous and intelligent robots: social, legal and ethical issues -- 3. The ethical and legal challenges of recommender systems driven by Artificial Intelligence -- 4. Metacognition, accountability and legal personhood of AI -- 5. Artificial Intelligence and decision-making in health: risks and opportunities -- 6. The autonomous AI physician: medical ethics and legal liability -- 7. Ethical challenges of Artificial Intelligence in medicine and the triple semantic dimensions of algorithmic opacity with its repercussions to patient consent and medical liability -- Part III. The law, governance and regulation of Artificial Intelligence -- Introduction to Part III -- 1. Dismantling four myths in AI & EU Law through legal information ‘about’ reality -- 2. AI modelling of counterfactual thinking for judicial reasoning and governance of law -- 3. Judicial decision-making in the age of Artificial Intelligence -- 4. Liability for AI driven systems -- 5. Risks associated with the use of natural language generation: a Swiss civil liability law perspective -- 6. AI Instruments for risk of recidivism prediction and the possibility of criminal adjudication deprived of personal moral recognition standards – sparse notes from a layman -- 7. The relevance of deepfakes in the administration of criminal justice -- 8. Antitrust law and coordination through Al-based pricing technologies -- 9. The “Artificial Intelligence Act” proposal on European e-Justice domains through the lens of user-focused, user-friendly and effective judicial protection principles -- 10. The European Union’s approach to Artificial Intelligence and the challenge of financial systemic risk -- 11. Regulating AI: challenges and the way forward through regulatory sandboxes.
    Abstract: This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law. .
    Note: Open Access
    DOI: 10.1007/978-3-031-41264-6
    URL: kostenfrei
    URL: kostenfrei
    URL: kostenfrei
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  • 11
    Online Resource
    Online Resource
    Bernard Shaw, Automata, Robots, and Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031492266
    Language: English
    Pages: 1 Online-Ressource(XV, 141 p. 30 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Bernard Shaw and His Contemporaries
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Playwriting. ; Dramatists. ; Theater ; Artificial intelligence. ; Technology
    Abstract: Chapter One: Bernard Shaw, Automata, Robots and Artificial Intelligence -- Chapter Two: Shaw and Automata -- Chapter Three: Shaw and Robots -- Chapter Four: Shaw and Artificial Intelligence -- Chapter Five: Artificial Intelligence as a Partner in Shaw Studies -- Chapter Six: The Way Forward: Shaw and Artificial Intelligence.
    Abstract: This project is the first to explore how Bernard Shaw intersects constructively with automata, robots and artificial intelligence (AI). Shaw was born in the golden age of the automaton. His Bible on the Life Force and Creative Evolution, Back to Methuselah, was written when Karel and Josef Čapek coined the word “robot.” Shaw’s life ran in parallel with the rise of AI, and the big names in AI were his contemporaries. Moreover, empirical analyses of Shavian texts and images using AI uncovers possibilities for new interpretations, demonstrating how future renditions of his works may make use of these advanced technologies to broaden Shaw’s audience, readership and scholarship. Kay Li is an established Shaw scholar and Adjunct Professor in the Department of English at University of Toronto, Canada. She is one of the founding members of the International Shaw Society, is the Project Leader of the SAGITTARIUS–ORION Digitizing Project on Bernard Shaw funded by the Social Sciences and Humanities Research Council of Canada, and the Arts and Artificial Intelligence project funded by Canadian Heritage. Her books include Bernard Shaw and China: Cross-Cultural Encounters (2007) and Bernard Shaw’s Bridges to Chinese Culture (Palgrave Macmillan, 2016). Kay has also published many articles in peer-reviewed journals, especially in SHAW: The Journal of Bernard Shaw Studies. .
    DOI: 10.1007/978-3-031-49226-6
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  • 12
    Online Resource
    Online Resource
    Digital Technologies and Distributed Registries for Sustainable Development : Legal Challenges (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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.
    DOI: 10.1007/978-3-031-51067-0
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  • 13
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    Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication : MDCWC 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479427
    Language: English
    Pages: 1 Online-Ressource(XXIII, 631 p. 340 illus., 252 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Part 1: Machine Learning, Deep Learning and Computational Intelligence -- Chapter 1. A novel hierarchical clustering technique to analyse style and content factorization during image recognition -- Chapter 2. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech -- Chapter 3. Metaheuristics Feature Selection Algorithms for Identification and Classification of Mango Pests Diseases -- Chapter 4. An Integrated Optimization Technique with SVM for Feature Selection -- Chapter 5. A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing Data mining -- Chapter 6. Generating Synthetic Text Data for Improving Class Balance in Personality Prediction -- Chapter 7. CPSNet: Channel Pixel Spatial Feature Fusion Network for Image Dehazing -- Chapter 8. ATCBBC: A novel optimizer for neural network Architectures -- Chapter 9. Application of Dempster-Shafer Theory in Sensor Data Fusion -- Chapter 10.Examining Ant Colony Algorithm with The Cat Swarm Algorithm to Improve Energy Efficiency -- Chapter 11. Machine Learning based Online Visual Tracking with Multi-featured Adaptive Kernal Correlation filter -- Part 2: Wireless Communication -- Chapter 12. Integrating long-short term memory and particle swarm optimization for intrusion detection in 5G technologies -- Chapter 13. Performance Analysis of Polar Decoding Using Linear Code Mapping with Feedback Based Ann Architecture -- Chapter 14. Packet Classification Using Improved Random Forest Algorithm -- Chapter 15. A Machine Learning Perspective of optimal data transmission in Wireless Sensor Networks (WSN) -- Chapter 16. Blockchain and IPFS based solution for KYC -- Chapter 17. Analysis and Comparison of BER Performance of OFDM-IM under various fading channels using Conventional Detectors -- Chapter 18. A Survey of Non-Orthogonal Multiple Access for Internet of Things and Future Wireless Networks -- Chapter 19. Improved 3D Wireless Indoor Localization with Deep Learning Algorithms -- Chapter 20. Implementing Machine Learning for design and evaluation of Antenna Parameters -- Chapter 21. A MIMO dual mode homogenous OFDM IM system for next-generation communications -- Chapter 22. Probability Boosted Regression for Intrusion Detection in Cyber active Space -- Part 3: Mobile data application -- Chapter 23. Surface Water-body Extraction for Landsat-8 (OLI) Imagery using Water-Indices Methods and SCM Techniques -- Chapter 24. Automated Age-related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT -- Chapter 25. Traffic Light Simulation Using ALP -- Chapter 26. DNN-ILD: A Transfer Learning-based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images -- Chapter 27. Image Manipulation Detection using Augmentation and Convolutional Neural Networks -- Chapter 28. Smart Women Safety Solution with Alert System Using Machine Learning Approach -- Chapter 29. Cyberbullying Detection Using BILSTM Model -- Chapter 30. Smart Agriculture using Internet of Things -- Chapter 31. Breast Cancer Detection from Mammograms using Deep Learning and Bio-Inspired Optimization Algorithm -- Chapter 32. Detection of Echinoderms Underwater using Deep Learning Network -- Chapter 33. Malaria Parasite Detection Using Deep Learning -- Chapter 34. FiltDeepNet: Architecture for Covid Detection based on Chest X-ray Images -- Chapter 35. Novel approaches to Automatic License Plate Reading (ALPR) -- Chapter 36. Crop Prediction Expert System with Ensemble Machine Learning Technique -- Chapter 37. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection -- Chapter 38. Classifiers For Sentiment Analysis of Youtube Comments - A Comparative Study -- Chapter 39. Traffic Monitoring System Detecting Overspeed and Accidents from Video Input using OpenCV and Digital Image Processing -- Chapter 40. An experimental comparative analysis of human abnormal action identification on “SAIAZ” video dataset using SVM, ResNet50, and LSTM model -- Chapter 41. Comparative study on malicious URL using classifiers and boosting algorithms -- Chapter 42. Automation in Natural Rubber Latex Harvesting Field: A Review -- Chapter 43. Feature Selection based Machine Learning Model for Malware Detection -- Chapter 44. Application of Machine learning algorithm for prediction of Diabetes and Heart diseases -- Chapter 45. Damage Detection on Historical Structure using Image Processing -- Chapter 46. Eye Disease Classification Using VGG-19 Architecture -- Chapter 47. Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python -- Chapter 48. Robust Touch Free Palm Vein Sensor Authentication System -- Chapter 49. An Effective Machine Learning-based Malware Detection Approach -- Chapter 50. Exploring The Performance of Various Classification Algorithms for Masked Face Recognition Using Cnn Based Features -- Chapter 51. Chess Game using Assembly Language Programming -- Chapter 52. Deep Artificial neural Network for Software Effort Estimation -- Chapter 53. ‘Legal Owl’, An Application for Machine Generated Legal Aid Using NLP.
    Abstract: This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine learning, Deep learning and Computational intelligence algorithms (b) Wireless communication systems and (c) Mobile data applications. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry. Presents research works in various fields of computational intelligence and machine learning; Discusses results of MDCWC 2023 held at National Institute of Technology Tiruchirappalli, India; Serves as a reference for researchers and practitioners in academia and industry.
    DOI: 10.1007/978-3-031-47942-7
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  • 14
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477249
    Language: English
    Pages: 1 Online-Ressource(XII, 879 p. 380 illus., 339 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 823
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47724-9
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  • 15
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume V (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710959
    Language: English
    Pages: 1 Online-Ressource(IX, 511 p. 329 illus., 289 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1175
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control -- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents -- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion -- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling -- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles -- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel -- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm -- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference -- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis -- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1095-9
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  • 16
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    Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465499
    Language: English
    Pages: 1 Online-Ressource(XX, 503 p. 280 illus., 258 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1126
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Visualizing the Unseen: Unleashing Knowledge Discovery with Lossless Visualizations -- Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling -- Full High-dimensional Intelligible Learning In 2-D Lossless Visualization Space -- Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization -- Parallel Coordinates for Discovery of Interpretable Machine Learning Models -- Visual Knowledge Discovery with General Line Coordinates -- Unveiling Insights: Empowering AI/ML through Visual Knowledge Discovery.
    Abstract: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens. .
    DOI: 10.1007/978-3-031-46549-9
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  • 17
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume I (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819711079
    Language: English
    Pages: 1 Online-Ressource(X, 668 p. 453 illus., 356 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1170
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Active Disturbance Rejection Control of Carrier-based Aircraft with High Angle of Attack Research Based on Trajectory Optimization -- Chapter 2. Simulation and Performance Test of Large Thrust Ducted Fan -- Chapter 3. A Data-driven Linear Model for Flexible Vehicles Based on Koopman Operator -- Chapter 4. UAV Path Planning Method for Key Target Reconnaissance Mission -- Chapter 5. Study on the Stability of Spring Valve Considering the Inlet Pipeline -- Chapter 6. UAV formation control based on multi-strategy search improved pigeon-inspired optimization -- Chapter 7. Airworthiness Technology: The Key for the Development and Application of Civilian Unmanned Aircraft Systems -- Chapter 8. A Frequency Domain System Identification Toolbox for Aircraft and Rotorcraft -- Chapter 9. Measurement information consensus based distributed estimation of unknown source by using mobile sensor networks -- Chapter 10. Path planning and composite attitude control for a satellite with 2-DOF large-inertia turntable -- Chapter 11. An improved Cubature Kalman Filter-based optoelectronic tracking method -- Chapter 12. Autonomous Landing of a Low-Cost Quadrotor on a Moving Target -- Chapter 13. Reentry trajectory planning based on proximal policy optimization -- Chapter 15. Investigation and Applications of Multi-species Numerical Method Based on NNW-FlowStar, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1107-9
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  • 18
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    Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719877
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 69 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1148
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science).
    Abstract: This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations.
    DOI: 10.1007/978-981-97-1987-7
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  • 19
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VI (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710997
    Language: English
    Pages: 1 Online-Ressource(VIII, 468 p. 349 illus., 294 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1176
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1099-7
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  • 20
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume II (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710836
    Language: English
    Pages: 1 Online-Ressource(IX, 579 p. 309 illus., 246 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1171
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances -- Chapter 2. Conception of Foreign Heterogeneous Electronic Warfare UAV Cross Domain Cooperative Operations -- Chapter 3. A Denoising Algorithm of Star Map Based on Wavelet Transform and Double-window Combined Filtering -- Chapter 4. UAV Path Planning under Multiple Threats Based on Improved Sparrow Search -- Chapter 5. Distance-constrained Multi-agent Formation Sliding Mode Control under External Disturbances -- Chapter 6. A Multi-UAV Pursuit Strategy Based on Two-Stage Collaborative Search -- Chapter 7. Multi Unmanned Aerial Vehicle Collaborative Hunting Task Allocation Method by Improved Consensus-based Bundle Algorithm -- Chapter 8. Integrated Morphing Strategy and Trajectory Optimization of a Morphing Waverider Based on An Improved Artificial Bee Colony Algorithm -- Chapter 9. Consensus of discrete-time multi-agent systems with unknown but bounded measurement noises -- Chapter 10. Rotary UAVpath planning in rough terrain based on multiple objective SA-PSO optimization, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1083-6
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  • 21
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    Philosophy of Violence: A Multidisciplinary Perspective (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031558818
    Language: English
    Pages: 1 Online-Ressource(XI, 202 p. 3 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Philosophy. ; Postcolonialism. ; Terrorism. ; Political violence. ; Political science
    Abstract: 1. Introduction -- 2. Reimagining the colonial condition: understanding unhappiness in context to the colonial wound -- 3. Violent Technologies: A Historico-Philosophical Analysis -- 4. Internal Violence: A Critique of Absolute Socialisations -- 5. Corrective Sexual Violence in South Africa: a crime against the deviant Sexualised Other -- 6. Women, violence, and social activism: From Aba women’s protest to #EndSARS protests -- 7. An anger-based contextualist account of justifiable violence: An African case study -- 8. Reimagining Civil-Military Relations from a Quadrumvirate Interaction Perspective -- 9. Reading Contemporary Decolonial Iconoclasm in Belgium with Žižek, Yousfi and Fanon -- 10. A postcolonial theory of recognition: Honneth and Fanon on violence and mutual recognition.
    Abstract: This volume explores the role of violence generally but with specific reference to African concepts and themes, and the significance they have for social redress. The contributors interpret African concepts and themes to include accounts of violence, explicitly or implicitly construed from indigenous axiological resources like Ubuntu or personhood and from those works that are not African in origin but have become central in African moral, political and legal thought, such as Hannah Arendt’s On Violence and Walter Benjamin’s Critique of Violence. The volume contributes to moral philosophy, social philosophy, African philosophy, and political philosophy/theory. It situates itself within the Global South, specifically the African perspective, to explore, articulate, and defend (or even critique) African conceptions of violence. This volume also takes seriously the need to tap into the intellectual resource of the African and diasporic African episteme thru thinkers such as Steve Biko, Frantz Fanon and Reiland Rabaka. It appeals to students and researchers working in philosophy and related disciplines on violence in Africa and the postcolonial context.
    DOI: 10.1007/978-3-031-55881-8
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  • 22
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume III (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710874
    Language: English
    Pages: 1 Online-Ressource(IX, 585 p. 319 illus., 262 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1173
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Collision-Free UAV Flocking System with Leader-guided Cucker-Smale Reward Based on Reinforcement Learning -- Chapter 2. A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade based on Event-driven -- Chapter 3. Research on the Dilemma and Strategy of Training Applied Talents in UAV Specialty -- Chapter 4. Design and Implementation of Terrain following Algorithm for Cruise Missile -- Chapter 5. Task Assignment Algorithm for Unmanned Systems Based on Step Clustering Ant Colony -- Chapter 6. A Neural Network-Based Adaptive Dynamic Surface Control for Nonlinear Systems in Strict-Feedback Form with Input Constraints -- Chapter 7. TAMPI: A Time-Aware Multi-Perspective Interaction Framework for Temporal Knowledge Graph Completion -- Chapter 8. Lightweight Multimodal Fusion for Autonomous Navigation via Deep Reinforcement Learning -- Chapter 9. A Scalable Multi-Agent Reinforcement Learning Approach Based on Value function Decomposition -- Chapter 10. A GeneralizableAutonomous Maneuvering Decision-Making Method for UCAV Air Combat Combining PER-D3QN and Zero-Sum Markov Game, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1087-4
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  • 23
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VII (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819711031
    Language: English
    Pages: 1 Online-Ressource(VIII, 493 p. 291 illus., 221 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1177
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning -- Chapter 2. An adaptive cruise hybrid control method for unmanned driving -- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV -- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments -- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning -- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles -- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization -- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet -- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination -- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1103-1
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  • 24
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    Networking and Parallel/Distributed Computing Systems : Volume 18 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031532740
    Language: English
    Pages: 1 Online-Ressource(X, 226 p. 113 illus., 91 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1125
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal -- Employee Management Support Application for Operation Managers and Its Security -- Text-based Data Analysis for Mental Health Using Explainable AI and Deep Learning -- Using the Internet of Things and Machine Learning to Monitor and Detect COVID-19 -- Comparison between the Route Using Improved Detours and Shortest Route on Distributed Key Value Store Based on Order Preserving Linear Hashing and Skip Graph -- Extraction Study of Leaf Area and Plant Height of Radish Seedlings Based on SAM -- A Scalable Middleware for IoT Vulnerability Detection -- Predicting Oil Spills in Real-Time: A Machine Learning and AIS Data-Driven Approach -- Data-driven OCL Invariant Patterns-based Process Model Exploration for Process Mining -- An Analysis of Program Comprehension Process by Eye Movement Mapping to Syntax Trees -- Self-supervised Monocular Depth Estimation and Ego-motion Made Better: A Masking Constraints -- Using Additional Sets of Random Data to Assess Possible Dissaving Risk against Life Expectancy for Elderly People -- A Study on the NFT and Blockchain Technology for Copyright Management -- The Effect of Enterprise Risk Management System on Risk Management Capability and Management Performance -- A Study on the Effect of Omnichannel Customers Acceptance Attitudes and Loyalty: Focusing on UTAUT2.
    Abstract: The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form. This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-53274-0
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    Data Science and Emerging Technologies : Proceedings of DaSET 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702930
    Language: English
    Pages: 1 Online-Ressource(XX, 579 p. 189 illus., 166 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 191
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Internet of things. ; Computer vision.
    Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
    DOI: 10.1007/978-981-97-0293-0
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    Taking Responsibility for Climate Change (2024)
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031517532
    Language: English
    Pages: 1 Online-Ressource(XIII, 150 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Social sciences ; Ethics. ; Political science ; Philosophy of nature. ; Climatology.
    Abstract: 1. Introduction to collective and shared responsibility for climate change -- 2. Calling all collective agents -- 3. Responsibility as members -- 4. Shared social orientation and responsibility as constituents -- 5. Carbon inequality and direct responsibility -- 6.Why we need ethical arguments to set good climate policies.
    Abstract: "In this innovative book, Hormio effectively argues for an 'all hands on deck' approach to assigning climate change responsibility to a wider array of agents than is typically recognized, making the case that ethical analysis matters for complex policy problems like climate change.” —Steve Vanderheiden, Professor of Political Science, University of Colorado at Boulder, USA "By interweaving philosophical argument with real-world examples, Säde Hormio makes an important contribution to debates about collective responsibility for climate change." —Stephanie Collins, Associate Professor of Philosophy, Monash University, Australia This book proposes that it is not only states and international bodies that have a responsibility to take action toward mitigating climate change. Other collective agents, such as corporations, need to also come onboard. Additionally, the book argues that climate change is not solely a problem for collective agents, but also for individuals, as they are members of collectives and groups of several kinds. Therefore, framing climate change responsibility exclusively from either the collective or the individual perspective leaves out something crucial: how we all are influenced by the collectives we belong to and how, in turn, collectives are influenced by individuals. The focus of the book is on areas of climate change responsibility that are often left out of the picture or get too little attention in climate ethics, such as carbon inequality within countries. But why should any theoretical arguments about normative issues matter when we have a real-life climate crisis on our hands? Säde Hormio argues that ethical arguments have an important role in setting climate policy: they can highlight what values are at stake and help ground normative arguments in public deliberations. Säde Hormio is an Academy Research Fellow in Practical Philosophy at the University of Helsinki. She is also affiliated with the Institute for Futures Studies in Stockholm. Her research focuses on shared and collective responsibility.
    DOI: 10.1007/978-3-031-51753-2
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    Transparency in Science and the Effects on Public Policy (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031556456
    Language: English
    Pages: 1 Online-Ressource(IX, 115 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Library of Public Policy and Public Administration 19
    Parallel Title: Erscheint auch als
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    Keywords: Political planning. ; Political science ; Social sciences ; Political science.
    Abstract: Chapter 1. Introduction -- Chapter 2. Why has science been of crucial importance for human development in the last centuries? -- Chapter 3. What about transparency in other areas of the public sector? -- Chapter 4. Proactive transparency -- Chapter 5. Transparency challenges for business and privacy -- Chapter 6. Appendix 1: Personal experiences of the author -- Chapter 7. Appendix 2: Political appointments in ex- communist countries (lack of autonomy in Slovene public sector).
    Abstract: This book argues that, in the development of science, three principles have been used; transparency of results; transparency of procedures; financial transparency. Though the topic of transparency has been researched from various angles by many academics, none have made a comparison between the development of science in the last 350 years and the aforementioned principles. The author uniquely explains how these elements contributed to the rapid development of science and consequently that of technology and human wellbeing and suggests legislation for ensuring transparency in the public sector. In addition, this book provides numerous examples of successful new ways of using these principles in other activities in the public sector as well as possibilities of including the transparency principles from science publishing into general and internet media.
    DOI: 10.1007/978-3-031-55645-6
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    Constitutional Debates, Rhetoric, and Political Philosophy in Spain’s Parliamentary History (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031568947
    Language: English
    Pages: 1 Online-Ressource(XI, 217 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Rhetoric, Politics and Society
    Parallel Title: Erscheint auch als
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    Keywords: Europe ; Communication in politics. ; World politics. ; Political science
    Abstract: Introduction: Examining Political Rhetoric in Spanish Constitutional Debates -- Chapter one: A Survey of Constitutional Debates in Spain’s Nineteenth Century -- Chapter two: The Historical Framework of Spain’s Twentieth-Century Constituent Moments -- Chapter three: Understanding Democracy in the Constituent Debates of 1931 and 1977–78 -- Chapter four: Competing Meanings of the New Democratic State -- Chapter five: Constitutional State Powers -- Chapter six: The Decentralization of Spain as a Political Nation -- Conclusion.
    Abstract: This book examines the conceptual contributions of constituent representatives in Spain during the nineteenth and twentieth centuries. The Spanish Parliament has been the stage for the political modernisation of the country. Constitutional debates have historically led to the gradual acknowledgement and broadening – usually unevenly – of citizens’ rights. At the same time, constitutional debates have created opportunities to design institutions and settle legal mechanisms to enforce rights and distribute state resources. The book identifies and analyses rhetorical and conceptual innovations produced in such debates from a historical perspective. Francisco J. Bellido is Postdoctoral Researcher at NOVA University Lisbon, Portugal.
    DOI: 10.1007/978-3-031-56894-7
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    The Philosophy of Inquiry and Global Problems : The Intellectual Revolution Needed to Create a Better World (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031494918
    Language: English
    Pages: 1 Online-Ressource(XIX, 313 p. 5 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Education ; Social sciences ; Knowledge, Theory of. ; Science ; Political science
    Abstract: 1. Bad Philosophy, the Climate Crisis, and other Global Problems -- 2. Bad Academic Philosophy Responsible for Global Problems -- 3. The Post-Cartesian Blunder, and The Failure to Develop Philosophy as Critical Fundamentalism -- 4. The Post-Newtonian Blunder, and The Failure to Develop Aim-Oriented Empiricism -- 5. The Post-Enlightenment Blunder, and the Failure to Develop Academic Inquiry so as to Become Rationally Devoted to Helping Humanity Create a Civilized World -- 6. What We Need to Do -- 7. Appendix 1 How to Solve Hume’s Problem of Induction -- 8. Appendix 2 How Aim-Oriented Empiricism Would Benefit Science.
    Abstract: Universities have long been dominated by a philosophy of inquiry that may be called knowledge-inquiry. This holds that, in order to do justice to the basic humanitarian aim of helping to promote human welfare, academic inquiry must, in the first instance, seek knowledge and technological know-how. First, knowledge is to be acquired; once acquired, it can be applied to help promote human welfare. But this philosophy of knowledge-inquiry is an intellectual and humanitarian disaster. It violates three of the four most elementary rules of rational problem solving conceivable, and as a result fails to give priority to the task of helping humanity resolve those conflicts and problems of living, such as the climate and nature crises, that need to be resolved if we are to make progress to a better world – a world in which there is peace, democracy, justice, liberty, and sustainable prosperity, for all. Very few academics today are aware of this rationality scandal. We urgently need to bring about a revolution in universities around the world, wherever possible, so that academic inquiry puts all four rules of rational problem solving into practice, and becomes rationally devoted to helping humanity learn how to make progress towards a better world. Knowledge-inquiry needs to become wisdom-inquiry, rationally devoted to helping humanity create a wiser world. Nicholas Maxwell is Emeritus Reader at University College London. He has devoted much of his working life to arguing we need to bring about a revolution in academia so that it comes to seek and promote wisdom and does not just acquire and apply knowledge. He has published fifteen books on this theme.
    DOI: 10.1007/978-3-031-49491-8
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    The Emergence of Mind : Where Technology Ends and We Begin (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031468353
    Language: English
    Pages: 1 Online-Ressource(XIII, 170 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Technology ; Philosophy of mind. ; Artificial intelligence.
    Abstract: Chapter 1. Writing the Human Narrative -- Chapter 2. Where We Begin -- Chapter 3. The Science of Mindlessness -- Chapter 4. Where Computation Ends -- Chapter 5. Relational Science -- Chapter 6. Life and Mind -- Chapter 7. Thinking as a Creative Act -- Chapter 8. Emerging Minds./.
    Abstract: "Whether or not you accept the conventional wisdom that computational intelligence and human intelligence are essentially the same, I recommend that you ponder Jeffrey Kane's timely and persuasive book. " —Howard Gardner, Hobbs Research Professor of Cognition and Education, Harvard Graduate School of Education “In this breathtaking journey through both the works of classic and contemporary philosophers and scientists, Kane sometimes offers agreements but also compelling challenges, leaving the reader filled with the excitement of the mission. While so much has been learned, there is so much more to be understood. Kane illuminates that the journey to understanding how the brain gets mental has just begun.” —Mike Gazzaniga, Director of the SAGE Center for the Study of Mind, University of California, Santa Barbara While it may appear that generative AI has mastered the mystery of the human mind and released its full power, The Emergence of Mind: Where Technology Ends and We Begin demonstrates the profound and fundamental limitations of the technology and its use as a model of human thinking. In response, the book offers an emergent model of the human mind rooted in our experiences as living, sentient, social and conscious beings. The text explores the nature of meaning in human cognition and the critical importance of the experience of ideas. In so doing, it offers insights into the cultivation of specific generative capacities of the human mind. Jeffrey Kane, is a professor of Philosophy and Education at Long Island University. After serving as the Academic Vice-President of the University, Dr. Kane returned to faculty to teach and to write about the experiential foundations of human thinking. Among his publications are Beyond Empiricism: Michael Polanyi Reconsidered and a book of poetry, life as a novice. He lives in East Hills NY with his wife Janet. .
    DOI: 10.1007/978-3-031-46835-3
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    Kantian Ethics and the Attention Economy : Duty and Distraction (2024)
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031456381
    Language: English
    Pages: 1 Online-Ressource(XIX, 275 p. 2 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    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
    DOI: 10.1007/978-3-031-45638-1
    URL: kostenfrei
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    Algorithmic Democracy : A Critical Perspective Based on Deliberative Democracy (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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
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    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.
    DOI: 10.1007/978-3-031-53015-9
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    Ethics of Medical AI (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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
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    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.
    DOI: 10.1007/978-3-031-55744-6
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    Resolving Intergenerational Conflicts : An Approach from Philosophy, Economics, and Experiments (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819706143
    Language: English
    Pages: 1 Online-Ressource(XVI, 215 p. 23 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Japanese Business and Economics 33
    Parallel Title: Erscheint auch als
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    Keywords: Ethics. ; Finance, Public. ; Power resources. ; Environmental economics. ; Political science ; Experimental economics.
    Abstract: Introduction -- Duty and Reciprocity in Intergenerational Ethics -- Developing Intergenerational Cooperation Based on Public Reciprocity - Intergenerational Cooperation through the Kantian Categorical Imperative -- Considerations for Policy Decisions Involving Multiple Generations - An Examination through an Economic Experiment on Fiscal Policy -- The Meaning of Equal Treatment of Present and Future Events - Time Discounting -- Conclusion.
    Abstract: This book is an unprecedented consideration of the challenges of what we can do for generations yet to come. Many growing intergenerational conflicts of interest, such as climate change and fiscal sustainability, are the result of the historically new progress of increasing human power, and the resolution of those conflicts demands a new intergenerational ethic. The book offers fresh new ideas for resolving intergenerational conflicts through the exploration of an entirely new field, conceptualized in philosophy, developed in economics, and tested in experiments. In particular, this work develops the theory of intergenerational cooperation based on a new relationship of direct reciprocity between generations. From experimental results, the possibility of intergenerational cooperation through Kantian categorical imperative is shown. The book also examines the effectiveness of inviting representatives of future generations, which are called "imaginary future generations", into the deliberations for current policy decisions. The original Japanese edition of this book was awarded the 66th Nikkei Prize for Excellent Books in Economic Science. The prize was established in 1958 to contribute to the advancement of academics and knowledge in the fields of economics, management, and accounting, as well as to its general dissemination and application.
    DOI: 10.1007/978-981-97-0614-3
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579165
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 485 p. 178 illus., 141 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 202
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: The Deployment of E-Learning Application as a Web Service in a Cloud Broker Architecture -- CarbonApp: Blockchain Enabled Carbon Offset Project Management -- Investigating the Impact of Congestion Control Algorithms on Edge-Cloud Continuum -- Design and Implementation of a Fuzzy-based System for Assessment of Relationship Trust -- BarongTrace: A Malware Event Log Dataset for Linux -- Specifying SSI over EAP: Towards an Even Better Eduroam in the Future -- FastSGX: A Message-passing based Runtime for SGX -- Leveraging Chat-Based Large Vision-Language Models for Multimodal Out-of-Context Detection -- Enhancing the 5G-AKA Protocol with Post-Quantum Digital Signature Method -- SoK: Directions and Issues in Formal Verification of Payment Protocols -- PCPR: Plaintext Compression and Plaintext Reconstruction for Reducing Memory Consumption on Homomorphically Encrypted CNN -- Design and Performance Evaluation of a Two-stage Detection of DDoS Attacks Using a Trigger with a Feature on Riemannian Manifolds -- Discovering Personally Identifiable Information in Textual Data - A Case Study with Automated Concatenation of Embeddings -- Towards User-Oriented Steganography -- AI-based Cybersecurity Systems.
    Abstract: The aim of the book is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure, and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design, and applications of computer networks, distributed computing, and information systems.
    DOI: 10.1007/978-3-031-57916-5
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    Improving technology through ethics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031529627
    Language: English
    Pages: 1 Online-Ressource(V, 108 p. 13 illus., 8 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: PoliMI SpringerBriefs
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    Keywords: Technology ; User interfaces (Computer systems). ; Human-computer interaction. ; Technology ; Artificial intelligence.
    Abstract: Introduction: What Improving Technology through Ethics Means -- An Ethnographer Among the Engineers: Doing STS at a Technical University -- Future Medicine: Towards a More Conscious and Ethical Communication -- Data Quality, Data Diversity and Data Provenance: An Ethical Perspective -- Ethics-aware Application of Digital Technologies in the Construction Industry -- Drawing Together: Technology Development for Public Service -- Addressing Big Data Poverty in Sub-Saharan Africa for Responsible AI Development -- Social and Technological Innovation: Cross-Fertilization Needed.
    Abstract: This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what practitioners do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature.
    DOI: 10.1007/978-3-031-52962-7
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    The Genesis and Transformation of Social Consciousness : An Attempt at the Construction of Social Naturalism (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031544194
    Language: English
    Pages: 1 Online-Ressource(IX, 311 p. 2 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Social sciences ; Continental Philosophy. ; Political science
    Abstract: Chapter 1. Introduction -- Part Ⅰ. Intentionality and Actions -- Chapter 2. From Speech Act to Intentionality -- Chapter 3. The Structure of Intentionality -- Chapter 4. The Meaningful Action and Commitment -- Part Ⅱ. Collective Intentionality and Normativity -- Chapter 5. Normativity as Rational Ground -- Chapter 6. Normativity as Collective Creation -- Chapter 7. Normativity as Intersubjective Control -- Part Ⅲ. Normativity with Universal Validity -- Chapter 8. Communication and Social Evolution -- Chapter 9. Discourse Ethics and Moral Cognitivism -- Chapter 10. Critique of Cognitive Parallelism -- Chapter 11. Conclusion./ .
    Abstract: This book focuses on the formation of human social consciousness and develops a naturalist approach to social normativity. Beginning from Marx's uncompleted concept of social consciousness, the book retrospects the studies about collective intentionality in the area of philosophy of mind and social ontology. Specifically, a reinterpretation of social consciousness with respect to collective intentionality can offer us a new, naturalistic approach to the social formation and normativity. According to the naturalistic approach, we can discern the inner structure of social consciousness as a systematic pattern of Intentionality. Social consciousness involves three levels of development: subjective, objective and absolute. With this new pattern of social consciousness, the “naturalism” of the young Karl Marx can be revived. And by grasping the most essential ability of human Intentionality as the source of social formation, it also makes an interdisciplinary study of social philosophy and philosophy of mind possible. Yang Chen is an assistant professor of philosophy in the Institute of Marxist Philosophy and Chinese Modernization and the Department of Philosophy at Sun Yat-sen University in Guangzhou, China. He received his Ph.D from Goethe-University Frankfurt am Main (2022) and M.A in Philosophy from Humboldt University of Berlin (2016).
    DOI: 10.1007/978-3-031-54419-4
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    AI, consciousness and the new humanism : fundamental reflections on minds and machines (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819705030
    Language: English
    Pages: 1 Online-Ressource(VII, 349 p. 28 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Philosophy of mind. ; Artificial intelligence. ; Technology
    Abstract: Chapter 1: Introduction -- Chapter 2: What AI can learn from the Brain – The Temporal Augmenting Agent (TAA) -- Chapter 3: Can Machines Learn Music? An open dialogue between Neuromusicology and Computational modelling methods -- Chapter 4: Can Machines ‘Think’? Machine intelligence and the phenomenal nature of thoughts -- Chapter 5: Can Machines Think Causally? -- Chapter 6: Neuromodulation and AI -- Chapter 7: Self-awareness and its implications for cooperative - competitive machine-mind interactions -- Chapter 8: Bicentennial Saga of Consciousness: Exploring the Lives and Minds of Humans and Machines with a Discussion on contemporary Sci-Fi Movies that Straddles the Identity, Love and Intelligence Discourses -- Chapter 9: AI as an Intercultural Trigger of New Consciousness -- Chapter 10: Can Artificial Intelligence (AI) accelerate social advancement? A review of possibilities and challenges -- Chapter 11: Mind-reading machines: Promises, Pitfalls and Solutions of Implementing Machine Learning in Mental Health -- Chapter 12: AI Technology and Autonomous Weapon System: Debating “Meaningful Human Control” -- Chapter 13: Language and Meaning in Humans and AI Systems -- Chapter 15: Artificial Intelligence (AI), Machine Learning (ML), and the Humanities -- Chapter 16: Expanding Cognition: The Plasticity of Thought -- Chapter 17: Simulation and Obfuscation: Artificial Intelligence, Intelligent and Not? -- Chapter 18: Can Artificially Intelligent Machines have a Goal?: An Understanding based on Bhoja's Aesthetic Theory of Character Personality and Life-goals -- Chapter 19: Incomplete performitivity in the age of Neganthropocene or how to exit the Anthropocene -- Chapter 20: Singularity Beyond Silicon Valley: The Transmission of AI Values in a Global Context -- Chapter 21: Advaita Ethics and the Machine Age: The Pursuit of Happiness in an Interconnected world -- Chapter 22: The World as Affordances: Phenomenology and Embodiment in AI -- Chapter 22: Human Learning andMachine Learning: Unfolding from Creativity Perspective -- Chapter 23: On Convergence of Intelligence: Decision-making Models in AI and Reflections on Human Intelligence -- Chapter 24: Situating AI in the matrix of human agency and normativity: Implications of post-phenomenological mediation and technological intentionality -- Chapter 25: Investigating the ontology of AI vis-a-vis Technical Artefacts.
    Abstract: This edited volume presents perspectives from computer science, information theory, neuroscience and brain imaging, aesthetics, social sciences, psychiatry, and philosophy to answer frontier questions related to artificial intelligence and human experience. Can a machine think, believe, aspire and be purposeful as a human? What is the place in the machine world for hope, meaning and transformative enlightenment that inspires human existence? How, or are, the minds of machines different from that of humans and other species? These questions are responded to along with questions in the intersection of health, intelligence and the brain. It highlights the place of consciousness by attempting to respond to questions with the help of fundamental reflections on human existence, its life-purposes and machine intelligence. The volume is a must-read for interdisciplinary and multidisciplinary researchers in humanities and social sciences and philosophy of science who wish to understand the future of AI and society. .
    DOI: 10.1007/978-981-97-0503-0
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    From Automated to Autonomous Driving : A Transnational Research History on Pioneers, Artifacts and Technological Change (1950-2000) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031498817
    Language: English
    Pages: 1 Online-Ressource(XI, 307 p. 73 illus., 43 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Archimedes, New Studies in the History and Philosophy of Science and Technology 70
    Parallel Title: Erscheint auch als
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    Keywords: Science ; Robotics. ; Automotive engineering. ; Artificial intelligence. ; Computer vision.
    Abstract: Acknowledgements -- Chapter 1. Introduction -- Chapter 2. History of the research on vehicle automation in the United States -- Chapter 3. History of the research on vehicle automation in Japan -- Chapter 4. History of the research on vehicle automation in Europe -- Chapter 5. Findings of the inquiry -- Chapter 6. Timeline with firsts, milestones and shifts -- Index.
    Abstract: This book presents the most important milestones of the research on automated and autonomous driving in the United States, Japan and Europe throughout five decades (1950-2000). Drawing on sources from the automotive industry, electrical engineering, the robotics and AI-domain and military institutions, it retraces the transition from the guidance-cable approach to vehicle-based sensor and vision systems. Giving a detailed overview of the technical concepts, artefacts, research vehicles and robots, the book presents the transnational engineering efforts that started long before Silicon Valley entered the field. In addition, the book also uniquely details the role of the military in the domain of vehicle automation. This all ensures the book is of great interest to historians of technology, practitioners in engineering disciplines, scholars working in mobility studies, journalists, and political decision makers.
    DOI: 10.1007/978-3-031-49881-7
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  • 40
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    Machine intelligence for research and innovations : Proceedings of MAiTRI 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981298
    Language: English
    Pages: 1 Online-Ressource(XVII, 353 p. 155 illus., 136 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 832
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science). ; Image processing ; Computer vision. ; Machine learning.
    Abstract: 1. A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network -- 2. Analysis of Pollard Rho attacks over ECDLP -- 3. Modelling Networks with Attached Storage using Perfect Italian Domination -- 4. Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network -- 5. Automated tool for toxic comments on YouTube -- 7. Directional Edge Coding for Facial Expression Recognition System -- 6. A Cascaded 2DOF-PID control technique for drug scheduling of chemotherapy system.
    Abstract: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
    DOI: 10.1007/978-981-99-8129-8
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579318
    Language: English
    Pages: 1 Online-Ressource(XXIX, 513 p. 198 illus., 160 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 203
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Application of Soft Computing Techniques for Clustering in VANETs: A Survey -- EarlyStage Diabetes Risk Detection Using Comparison Of Xgboost, Lightgbm, And Catboost Algorithms -- Blockchain Based Artificial Intelligence of Things (AIoT) for Wildlife Monitoring -- Research on Screw Detection Using Artificial Intelligence Technology -- An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms -- Targeted and Automatic Deep Neural Networks Optimization for Edge Computing -- Edge to Cloud Network Function Offloading in the ADAPTO Framework -- DEFEDGE: Threat-driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems -- Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum -- REDRAW: FedeRatED leaRning for humAn Wellbeing -- Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees -- Optimization of University Services through Cloud-Edge Integration: Study of a use case at the University of Naples Federico II -- Distributed Collaborative AR on Cloud Continuum: a Case Study for Cultural Heritage -- Survey on Reference Architecture for Cloud Continuum and Multi-Access Edge Computing (MEC) in 5G Networks -- Elastic Autoscaling for Distributed Workflows in MEC Networks.
    Abstract: This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications, different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57931-8
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    Data-Centric Security in Software Defined Networks (SDN) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555176
    Language: English
    Pages: 1 Online-Ressource(XIX, 118 p. 38 illus., 2 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 149
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: Introduction -- Data-centric security -- Software Defined Networks -- Cross-layer enforcement of data security in SDN -- Risk-aware routing in SDN -- Risk-aware routing applicability for DCS enforcement -- DCS deployment in SDN-based systems.
    Abstract: The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aim to provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.
    DOI: 10.1007/978-3-031-55517-6
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    On Legitimacy in Global Governance : Concept, Criteria, and Application (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031541254
    Language: English
    Pages: 1 Online-Ressource(XI, 222 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Political science ; Social sciences ; Political science.
    Abstract: 1. Introduction -- Part 1: Legitimacy in Global Governance -- 2. Subject and Concept of Legitimacy -- 3. Legitimacy, Justice and Democracy -- 4. The All-Affected Principle -- 5. Towards a Standard of Legitimacy for Global Governance Institutions -- Part 2: The G20 -- 6. Nature and Functions of the G20 -- 7. The Legitimacy of the G20 -- 8. Conclusions.
    Abstract: “Sören Hilbrich’s work on legitimacy and global governance is original, illuminating and very thorough in its discussion of the question of the nature of legitimacy for international institutions. I am especially impressed with the in-depth discussion of the legitimacy of the G20.” —Thomas Christiano, University of Arizona “Sören Hilbrich develops a conception of legitimacy as the right to function, which is applicable to all political institutions. The implication of this conceptually rich discussion is that we should not be too ambitious in our legitimacy standards for Global Governance institutions. This study is a remarkable achievement and is a must for those interested in International Political Theory.” —Michael Zürn, WZB Berlin Social Science Center Global governance has a major impact on the lives of people around the world. However, traditional theories of legitimacy were usually developed for states and are not suitable for the diversity of global governance institutions that exist today. This book first develops a normative concept of legitimacy that is applicable to all political institutions. According to this concept, to regard an institution as legitimate means ascribing it the right to exercise its function in political practice. Secondly, the book discusses how the use of this concept opens up new perspectives in the debate on legitimacy criteria for global governance institutions. In this context, the book analyses the relationship of legitimacy to the values of justice and democracy and discusses the role of feasibility constraints and the all-affected principle in legitimacy judgements. The concept of legitimacy as the right to function opens up the conceptual space to accommodate the insight that legitimacy criteria are not the same for all global governance institutions, but depend on their function and context. Thirdly, the book applies the developed theoretical framework to a specific global governance institution, the G20. Sören Hilbrich is a researcher at the German Institute of Development and Sustainability in Bonn, Germany.
    DOI: 10.1007/978-3-031-54125-4
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578700
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 462 p. 198 illus., 155 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 201
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Efficient Communication Protocol for Programmable Matter -- IoRT-based Distributed Algorithm for Robust Team Formation and its Application to Smart City Operation -- A WSN and Vision based Energy Efficient and Smart Surveillance System using Computer Vision and AI at Edge -- Mitigating Resource Depletion and Message Sequencing Attacks in SCADA Systems -- API Descriptions for the Web of Things -- SmartDriveAuth: Enhancing Vehicle Security with Continuous Driver Authentication via Wearable PPG Sensors and Deep Learning -- A Vision Transformer Based Indoor Localization Using CSI Signals in IoT Networks -- Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services -- Optimising Water Quality Classification in Aquaculture Using a New Parameter Pre-selection Approach -- Topic Analysis of Japanese Sentences Using Sentence Embeddings -- Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction -- A Fuzzy-based System for Assessment of Performance Error in VANETs -- Carbon Credits Price Prediction Model (CCPPM) -- Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-based Adversarial Attack Defense Strategies -- Framework for Cognitive Self-Healing of Real Broadband Networks -- Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.
    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 interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57870-0
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  • 45
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    Strategic Blueprint for Enterprise Analytics : Integrating Advanced Analytics into Data-Driven Business (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558856
    Language: English
    Pages: 1 Online-Ressource(XVII, 245 p. 64 illus., 34 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 150
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
    DOI: 10.1007/978-3-031-55885-6
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  • 46
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    AI Approaches for Designing and Evaluating Interactive Intelligent Systems : Selected and Revised Papers from RoCHI 2022 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539572
    Language: English
    Pages: 1 Online-Ressource(X, 203 p. 52 illus., 37 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 36
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Artificial intelligence.
    Abstract: Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications. The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 that was held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts. Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.
    DOI: 10.1007/978-3-031-53957-2
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  • 47
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579424
    Language: English
    Pages: 1 Online-Ressource(XXIX, 501 p. 186 illus., 151 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 204
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0 -- Fixed-parameter Tractability for Branchwidth of the Maximum-weight Edge-colored Subgraph Problem -- On Coverage in Multi-interface Networks with Bounded Pathwidth -- Sensitivity Analysis of Performability Model to Evaluate Pbft Systems -- Algorithmic Aspects of Distributing Energy Consumption in Multi-interface Networks -- Blockchain and Financial Services a Study of the Applications of Distributed Ledger Technology (Dlt) in Financial Services -- A Personalized Parking Guidance Service Based on Computer Vision Technology for Large Car Parks -- Mathematical Modelling of Covid-19 Using Odes -- Analyzing Monitoring and Controlling Techniques for Water Optimization Used in Precision Irrigation.
    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 interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57942-4
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978861
    Language: English
    Pages: 1 Online-Ressource(XXII, 609 p. 191 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 817
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. Robust Ownership Management for Secure Deduplication in Cloud -- 2. Cervical Cancer Prediction Using Machine Learning Techniques -- 3. Digital Transformation of University Course Filing using Information and Communication Technologies (ICT): A Sustainable Approach -- 4. Optimizing Neural Network Performance for Time Series Analysis: Techniques for Improving Output Accuracy -- 5. The Business-oriented Extension of the Sustainability Awareness Framework – a Design Science Study -- 6. An IoT-based Smart Waste Management System: Senegal SET -- 7. Social Media And Healthcare: Effectiveness Of Education About Covid-19 Vaccination To Improve Knowledge And Attitudes In Students -- 8. Job scheduling for Big Data processing in YARN to enhancing performance -- 9. Quantum machine learning in intrusion detection systems: A systematic mapping study -- 10. A comparative documentary analysis of the Brazilian Digital Transformation Strategies adopted in the Enabling Thematic Axes of 2018 and 2022.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
    DOI: 10.1007/978-981-99-7886-1
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    Marx and Europe : Beyond Stereotypes, Below Utopias (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031537363
    Language: English
    Pages: 1 Online-Ressource(VII, 177 p. 3 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Philosophy and Politics - Critical Explorations 30
    Parallel Title: Erscheint auch als
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    Keywords: Political science ; Europe ; Marxian school of sociology.
    Abstract: Acknowledgements -- Chapter 1. Introduction (Anders Fjeld and Matthieu de Nanteuil) -- Part I. Marx: Not European Enough? Marxian Perspectives on the European Construction -- Chapter 2. The Road to the European Social Green Deal: Class Struggle or Counter-Hegemony (Albena Azmanova) -- Chapter 3. A Marxian analysis of the European construction I – Origins (Jean-Christophe Defraigne) -- Chapter 4. A Marxian analysis of the European construction II – Contradictions (Jean Christophe Defraigne) -- Chapter 5. Marx and Europe, or How to Overcome Predatory Finance? (Cécile Barbier) -- Chapter 6. Being a Marxist and a Muslim in Belgium: a Case Study (Lionel Remy-Hendrick) -- Part II. Marx: Too European? Post-Colonial Perspectives on Marxian Thought -- Chapter 7. Beyond Marx, Beyond Europe (Raúl Fornet-Betancourt) -- Chapter 8. Mariátegui and the Decolonization of Marxism. A Latin-American Perspective (Alfredo Gomez-Muller) -- Chapter 8. Racializing the Analysis of Capitalism. Towards a Decolonial Political Ecology: Mining Neoliberalism and Environmental Degradation in Sub-Saharian Africa (Anuarite Bashizi, Cécile Giraud and Aymar Nyenyezi Bisoka) -- Chapter 9. The Irish Mistake. Marx, Ireland, and Non-European Societies (Matthieu de Nanteuil) -- Chapter 10. The Eurocentrist Heritage of Marx? On the Evolution of Marxian Political Models: Euro-Mimetic, Counter-Imperialist and Anti-Capitalist (Anders Fjeld) -- Part III. Marx and Europe, a Dialectic Relationship -- Chapter 11. Balibar and Europe: Towards Democratic Socialism Beyond the Nation (Teresa Pullano) -- Chapter 12. Exiles in the 21st Century: the New “Population Law” of Absolute Capitalism (Étienne Balibar) -- Index.
    Abstract: This book provides a unique scientific contribution to the debate on Marx's legacy in proposing to critically articulate two “lines of discussion” which are most often kept apart. On the one hand, it reassesses the place of Marxian thought in the construction of Europe, seeking to revitalize the European political debate. On the other, it situates Marx' thought in the perspective of postcolonial and decolonial studies, with particular attention to their effort to overcome the indisputable limits of the Marxian legacy. In asking whether Marx’ thought was too European or not European enough, the book examines internationalist emancipatory politics and eurocentrism, class struggle and finance in the shaping of the European institutions, migration, identity and violence, as well as Marxian critiques of colonialism both within and beyond Europe. At a time of extreme tension, also within leftist politics, this book provides a precise and rigorous argument on what continues to make Marx's thought relevant, in grappling with social domination in the era of global capitalism, while also exploring the limits of Marxism today, both at the European level and worldwide.
    DOI: 10.1007/978-3-031-53736-3
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    Soft Computing and Signal Processing : Proceedings of 6th ICSCSP 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819986286
    Language: English
    Pages: 1 Online-Ressource(XXXII, 629 p. 289 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 864
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cloud Computing. ; Internet of things.
    Abstract: Automobile Parts Classification using Deep Learning based Ensemble Model -- Admission Prediction for Higher Studies in Foreign Universities -- Factors Influencing Employee Satisfaction in Workplace: A Study conducted in the Sonali Life Insurance Company Limited -- Detection of Abductors using Machine Learning Algorithms -- Vehicle Registration using Blockchain and JSON web token for Authentication on Restful Web Service from India Perspective -- Smart Grading System for Evaluating typed Text Answers Using Ensemble Machine-Learning techniques -- Ethereum Blockchain Based KYC Verification -- Crime Rate Prediction Using Machine Learning Techniques -- Comparative Study of various Machine Learning Algorithms for American Sign Language Recognition -- Species Identification of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Performance Evaluation of ML algorithms for Diabetes Prediction -- Office Management Chatbot using Artificial Intelligence -- Artificial intelligence based coronary heart disease Prediction in real time scenarios -- Milk Adulteration Monitoring and Detection Using IoT -- Multi Layered Object Identification and Detection using Deep CNN Detector -- ANN-Based Resource Scheduling Mechanism in Hybrid Cloud Computing Environment -- Comparison And Performance Evaluation of Fusion Mechanismfor Audio-Video Based Multimodal Emotion Recognition -- E-Commerce Customer Segmentation By Unsupervised Learning -- Analyzing Sentiment of Stock Market Data from twitter using Machine Learning and Deep Learning Techniques -- Transformer-based Chest X-ray Report Generation Model -- Chat Bot for Banking Sector Using NLP and ML -- Deep Learning-based proposed approach for low-dose CT scan based early detection of lung cancer -- Spam Detection using Deep Learning Approaches for Social Media Data -- Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning.
    Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
    DOI: 10.1007/978-981-99-8628-6
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    New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031537134
    Language: English
    Pages: 1 Online-Ressource(X, 210 p. 73 illus., 61 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1146
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Towards Interval Type-3 Fuzzy Parameter Adaptation in Metaheuristics -- An Application of Controlled Sets in Medical Diagnosis -- Dynamic Adjustment of an Artificial Fish Swarm Algorithm using Shadowed Type-2 Fuzzy Logic for Enhancing Benchmark Function Optimization -- α-Interval Valued Fuzzy Sets and α-Interval Valued Fuzzy Subgroups -- Design of a Fuzzy PID controller for the balancing problem of a Quadruped Robot.
    Abstract: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-53713-4
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578533
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 489 p. 177 illus., 124 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 200
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: A Method for Estimating the Number of Diseases in Computed Tomography Reports of the Japanese Medical Image Database (J-MID): Variations among Facilities -- Enabling Dynamic Vulnerability Assessment for Multi-web Application Using Executable Directed Acyclic Graph -- Discovery of RESTful Web Services Based on the Openapi 3.0 Standard with Semantic Annotations -- Perfresolv: A Geo-distributed Approach for Performance Analysis of Public Dns Resolvers Based on Domain Popularity -- Dars: Empowering Trust in Blockchain-based Real-world Applications with a Decentralized Anonymous Reputation System -- An Empirical Comparison of Outlier Detection Methods for Identifying Grey-sheep Users in Recommender Systems -- Adaptive Consensus: Enhancing Robustness in Dynamic Environments -- Cottontrust: Reliability and Traceability in Cotton Supply Chain Using Self-sovereign Identity -- Interoperability Between Evm-based Blockchains -- Stand-up Indulgent Gathering on Lines for Myopic Luminous Robots -- Iot Identity Management Systems: The State-of-the-art, Challenges and a Novel Architecture -- Starm: Streaming Association Rules Mining in High-dimensional Data -- Regulation Compliance System for Iot Environments: Gdpr Compliance as a Use-case -- Two-dimensional Models of Markov Processes for System Availability -- Enabling Ai in Agriculture 4.: A Blockchain-based Mobile Crowdsensing Architecture.
    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 interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57853-3
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    Machine Learning for Cyber Physical System: Advances and Challenges (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540387
    Language: English
    Pages: 1 Online-Ressource(XVI, 406 p. 148 illus., 109 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 60
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Machine learning. ; Artificial intelligence.
    Abstract: SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection -- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations -- Unsupervised approaches in anomaly detection -- Profiling and Classification of IoT Devices for Smart Home Environments -- Application of Machine Learning to Improve Safety in the Wind Industry -- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning -- Unraveling what is at stake in the intelligence of autonomous cars -- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities -- Application of Deep Learning in Medical Cyber-Physical Systems -- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning -- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges -- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration -- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning -- Current datasets and their inherent challenges for Automatic Vehicle Classification.
    Abstract: This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. .
    DOI: 10.1007/978-3-031-54038-7
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    AI and Neuro-Degenerative Diseases : Insights and Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531484
    Language: English
    Pages: 1 Online-Ressource(VI, 181 p. 35 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1131
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: 1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases -- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases -- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases -- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective -- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI -- 6. Prevalence of Dementia in India -- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles -- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges -- 9. Ethical considerations: Case Scenarios.
    Abstract: This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art. Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.
    DOI: 10.1007/978-3-031-53148-4
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume IV (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710911
    Language: English
    Pages: 1 Online-Ressource(IX, 517 p. 282 illus., 232 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1174
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Cooperative Transmit Resource Scheduling Algorithm for Asynchronous Tracking in Heterogeneous Multiple Distributed Radar Networks with Imperfect Detection -- Chapter 2. Joint Detection Threshold and Dwell Time Optimization for Target Tracking in Radar Networks -- Chapter 3. An Accurate and Robust Effectiveness Evaluation Method for an Unmanned Swarm in Performing a Specific Task -- Chapter 4. Multi-UAV collaborative search strategy based on improved genetic algorithm -- Chapter 5. Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-Antenna Power Control -- Chapter 6. Intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception against Radar Networks -- Chapter 7. Maneuvering Multi-Target Tracking based on DLSTM and Dynamic Association Gate -- Chapter 8. A DNN-Based GLMB Algorithm for Multi-Sensor Multi-Target Tracking with Dense Group Clutter -- Chapter 9. Efficient Multiple Extended Target Tracking Based on MinimumSpanning Tree -- Chapter 10. Improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1091-1
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    Advances in Tourism, Technology and Systems : Selected Papers from ICOTTS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997589
    Language: English
    Pages: 1 Online-Ressource(XIV, 546 p. 59 illus., 46 illus. in color.)
    Edition: 1st ed. 2024
    Series Statement: Smart Innovation, Systems and Technologies 384
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Strategic management of cultural projects - CIM Douro training -- Effects of Internet Access on Tourist Consumption in Mexican Households -- Enhancing Tourist Experiences: Integrating ChatGPT and 360 VR Videos in Tourism and Tourist Psychology -- Residents' perceptions of sustainable tourism development in an emerging destination: a factor-cluster approach -- Data Science in Supporting Hotel Management: application of predictive models to Booking.com guest evaluations -- Organizational Commitment: The role of Organizational Happiness and Quiet Quitting -- Proposal for a Technological Thematic Concept for the Trays Festival Museum -- The Impact of Corporate Governance on Financial Performance: Study for Portuguese Hotel Companies -- The influence of the senior tourist profile on the assessment of the dimensions of well-being and quality of life -- Experiences of Backpackers: an overview of publications -- Importance–Performance Analysis of Oleotourism experience -- Present and Future Digital Media Experiences to Support Travellers’ Decision Process During Online Accommodation Booking: A Systematic Literature Review and Bibliometric Analysis -- Motivating Factors in Choosing a Wine Tourism Destination and Its Impact on Territorial Marketing Policies -- Financial impact of covid-19: perspective from the hospitality and restaurant industry -- The Dynamics of Participant Engagement in a Food Festival: The Soup Congress case in Tomar -- Proposal for the creation of a MOOC on military tourism -- Cross-border tourism: a residents’ perspective of the Iberian Meseta Reserve -- The impact of work-life conflict on employees' emotional well-being and the adoption of quiet quitting – A study case applied to the Portuguese hospitality industry -- Reviving the Templar Tale: Proposal for the creation of an immersive experience through the Templar Heritage of Tomar -- Business Intelligence Tools to Improve Business Strategy -- Technology towards Luxury Brands: preliminary insights on fashion tourism, metaverse and non-fungible token (NFT) -- Applying the Importance-Performance Matrix to the Podence Carnival Festival -- Nutrition Software to the Management and Support of Health and Wellness Tourism: An Approach -- Backpackers’ space-time behaviour in a world heritage City – Porto -- Environmental corporate social responsibility (ECSR) in a price-set competition between private and state-owned hotels -- Tourist Technology Satisfaction: Scale Development and Validation -- Dialogic communication and dialogic loop principle in official websites of tourism – hospitality -- A Fuzzy ELECTRE method to model the risk in credit products for financing tourism experiences -- How wine information seeking and event participation impact knowledge and determines the purchasing behaviour? -- The Role of Sociodemographic Characteristics on the Journey from Brand Experience to Brand Love and Loyalty – Porto. -- Perception of Risk and Identification of Security Measures when visiting Cultural Heritage -- Visiting Porto through the eyes of Eugénio de Andrade -- The Perception of Tourists Regarding the Importance of Influencers in Shaping the Image of a Tourist Destination: The Case of Melgaço (Portugal) -- Social Media and the growth of E-Commerce – Multiple case studies: MusaMakeup and CRU Ecoliving -- Improving accessibility as a strategy for social sustainability in tourism supply -- Fashion as an economic sustainability indicator in tourism destinations’ governance through business participation -- Technology applications in the competitiveness of tourism destinations -- Events Tourism and Hospitality Marketing -- Entrepreneurship and COVID 19: The entrepreneurial challenge in a global pandemic -- Educational Practice: The Domain of Curricular Autonomy (DCA) at Fontes Pereira de Melo School. -- Societies, ICT and Higher Education in the 21st Century: Reflections and Proposals -- The Importance of Digital Marketing in Hospitality: The Case of Hotel Fafense.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
    DOI: 10.1007/978-981-99-9758-9
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    Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542770
    Language: English
    Pages: 1 Online-Ressource(XII, 246 p. 68 illus., 59 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 148
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.
    Abstract: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
    DOI: 10.1007/978-3-031-54277-0
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    Transactions on Intelligent Welding Manufacturing : Volume V No. 2 2021 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819961368
    Language: English
    Pages: 1 Online-Ressource(VII, 127 p. 94 illus., 81 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Transactions on Intelligent Welding Manufacturing
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Industrial engineering. ; Production engineering.
    Abstract: Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process.
    Abstract: The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
    DOI: 10.1007/978-981-99-6136-8
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477218
    Language: English
    Pages: 1 Online-Ressource(XII, 885 p. 329 illus., 248 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 822
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Robotics. ; Automation.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47721-8
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    Machine Intelligence for Research and Innovations : Proceedings of MAiTRI 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981359
    Language: English
    Pages: 1 Online-Ressource(XVII, 343 p. 161 illus., 136 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 831
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science). ; Image processing ; Computer vision. ; Machine learning.
    Abstract: 1. Energy Management System for EV with Multiple Energy Sources -- 2. Comparative Study of Hybrid/Enhanced Nature Inspired Optimization Algorithms for Solar Photovoltaic Model -- 3. A Study on Kerberos and Graphical Password based Web Authentication Scheme -- 4. Unsupervised Clustering of Asphalt Pavement Conditions using Fuzzy C-Means Algorithm with Principal Component Analysis Aided imensionality Reduction -- 5. Prediction of Heart Disease Risk in Early Ages with Boosting Techniques -- 6. Approach on Machine Learning Techniques for Anomaly-Based Web Intrusion Detection Systems: Using CICIDS2017 Dataset -- 7. Design and Development of a Charcoal-Based Sensor for Enhanced Soil Analysis in Precision Agriculture.
    Abstract: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
    DOI: 10.1007/978-981-99-8135-9
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    Intelligent Systems, Business, and Innovation Research (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031368950
    Language: English
    Pages: 1 Online-Ressource(XVII, 978 p. 252 illus., 218 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 489
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering ; Engineering mathematics.
    Abstract: 1.Universal Adversarial Perturbation -- Automated Environmental Mapping with Behavior Trees -- Multi-objective Automatic Clustering with Gene Rearrangement -- Impact of immersive technology and virtual work environment, on innovative work behaviour -- Innovation capability and the relationship between entrepreneurial resources and micro-business performance. -- Impact of Cloud Computing as a digital technology on SMEs sustainability -- Digital innovation and agri-business -- The Usage of Artificial Intelligence in management process -- Artificial Intelligence to Human Resources Management -- others.(Green Finance, Digital Finance, and their challenges on traditional businesses -- Artificial Intelligence and Public Governance: citizens perspective in the context of a developing nation -- Fintech Innovations and the potential for green investment -- Blockchains, tokens and entrepreneurship).
    Abstract: Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn from, and adapt to their environment, to perform tasks that would typically require human intelligence. Business and innovation research is an interdisciplinary field that examines how organizations can create, develop, and implement new ideas, products, and services. This can include areas such as organizational behaviour, strategic management, and marketing. The goal of business and innovation research is to understand how organizations can foster an environment that encourages creativity and innovation, and how they can develop and implement new ideas in a way that leads to success. Intelligent Systems, Business and Innovation Research is a research area that brings together these two fields to study the use of intelligent systems and technologies in the business context to drive innovation, improve operational efficiency and effectiveness of the organization. The book aims to understand how intelligent systems can be used in business applications, how to design and implement them, how to manage the associated challenges, and how to leverage them to foster innovation, create new business models, and gain competitive advantage. It offers guidance on how to navigate potential conflicts and challenges that may arise during multidisciplinary research in areas such as Industry 4.0, Internet of Things, modern machine learning, software agent applications, and data science. The book focuses on the various fields in which intelligent systems play a critical role in enabling the development of advanced technologies that can perform tasks that would typically require human intelligence. For example, in smart/control systems, intelligent algorithms can be used to optimize the performance of machines and devices, while in cyber security, they can be used to protect networks and data from cyber-attacks. In bioinformatics, intelligent systems can be used to analyse large amounts of biological data, while in virtual reality and robotics, they can be used to create realistic and responsive simulations and automatons. Additionally, the book also highlights the rapidly advancing theoretical foundations of fuzzy sets, mathematical logic, and non-classical logic. These are important theoretical frameworks for the development of intelligent systems, as they provide the foundation for the representation and manipulation of uncertainty, complexity, and imprecision. These theoretical foundations are essential in the development of intelligent systems that can make decisions and perform tasks in uncertain, complex, and dynamic environments.
    DOI: 10.1007/978-3-031-36895-0
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    Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability : AI for IoT and Health Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031527876
    Language: English
    Pages: 1 Online-Ressource(X, 191 p. 103 illus., 90 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 8
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical sciences. ; Biomedical engineering.
    Abstract: Drug-Drug Interaction, Interaction Type And Resulting Severity Forecasting By Machine Learning-Based Approaches -- Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare -- CNN-Based Model for Skin Diseases Classification -- Using explainable artificial intelligence and knowledge graph to explain sentiment analysis of COVID-19 post on the Twitter -- An IoT-based Telemedicine System for the Rural People of Bangladesh -- Comparison of Predicting Regional Mortalities Using Machine Learning Models -- Benign and Malignant Cancer Prediction using Deep Learning and Generating Pathologist Diagnostic Report -- An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading -- Covid-19 Detection based on Chest X-ray images us-ing Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks -- A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney Diseases -- Intelligent Information Systems in Healthcare sector: Review Study -- Design of a Blockchain-based Patient Record Tracking System -- IoT Networks and Online Image Processing in IMU-based Gait Analysis -- Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application.
    Abstract: IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc. .
    DOI: 10.1007/978-3-031-52787-6
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978625
    Language: English
    Pages: 1 Online-Ressource(XX, 571 p. 205 illus., 169 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 818
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressions using Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentiment of social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7862-5
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    Advances in Computational Intelligence Systems : Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031475085
    Language: English
    Pages: 1 Online-Ressource(X, 670 p. 268 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Intelligent Systems and Computing 1453
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Towards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting.
    Abstract: This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.
    DOI: 10.1007/978-3-031-47508-5
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    Automatic Control and Emerging Technologies : Proceedings of ACET 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819701261
    Language: English
    Pages: 1 Online-Ressource(XII, 833 p. 546 illus., 459 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1141
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Artificial intelligence.
    Abstract: ADRC control of an unmanned under-actuated aerial vehicle -- An optical-flow-assisted navigation method for UAVs using Sage-Husa EKF -- Critical Success Factors of Blockchain Implementation in the Automotive Supply Chain Management: Contribution through an Interpretive Structural Model -- Wireless Communication Systems Applied To Ev Wireless Charger: State of the art -- Enhancement of an electric vehicle's state of charge estimation using an extended Kalman filter -- Observer-based Controller Design for a Class of Discrete-Time Takagi-Sugeno Models: Application to One-Link Flexible Joint Robot.
    Abstract: This book contains the original, peer-reviewed research papers from the International Symposium on Automatic Control and Emerging Technologies, held in Kenitra, Morrocco, on July 11-13, 2023. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on topics with potential for academic research and industrial applications, making the book a valuable resource for researchers, engineers, and university students alike.
    DOI: 10.1007/978-981-97-0126-1
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    Computational Intelligence in Healthcare Informatics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819988532
    Language: English
    Pages: 1 Online-Ressource(XXXIII, 388 p. 160 illus., 117 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1132
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking towards the Diseases -- Learning from Imbalanced Data in Healthcare: State-of-the-art and Research Challenges -- A Review on Metaheuristic Approaches for Optimization Problems -- Diabetes Prediction: A Comparison between Generalised Linear Model and Machine Learning -- Prediabetes Prediction using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population.
    Abstract: The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.
    DOI: 10.1007/978-981-99-8853-2
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    Recent Advances in Technology Research and Education : Selected Papers of the 20th International Conference on Global Research and Education Inter-Academia (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031544507
    Language: English
    Pages: 1 Online-Ressource(IX, 330 p. 191 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 939
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Properties of Vacuum-Evaporated Metal Halide Perovskite Absorbers on Planar and Nanotextured Silicon Substrates -- Spin relaxation in GaAs/AlGaAs coupled quantum wells -- Tritium Release Behavior of Biphasic Lithium Ceramic with Low Li4SiO4 Content -- Synthesis and characterization of functionalized zinc phthalocyanine-natural polymer systems -- Study of the phase changes in ZnS-based phosphors crystal structure impact on their radioluminescent performances -- Analysis of the Resistance of Silicon Nanoscale Structures Highly Doped in Different Configurations -- Study of p-n junctions created by laser implantation of In in semi-insulating p-CdTe:Cl -- Spectroscopic studies of high performance CdTe-based Schottky diode X/γ-ray sensors -- Comparative Evaluation of Electrical Properties of Carbon Nanotube Networks Deposited on CMOS-Compatible Platform -- Dielectric SiO2 sol-gel coatings for microelectronics.
    Abstract: This book presents the 20th edition of the Inter-Academia Conference which aims to be a valuable resource for academic institutions in search for novel approaches for a global education, for industry partners exploring new fundamental research ideas, for government bodies seeking international projects that promote sustainable growth, and most certainly for the global scientific community, more and more invested in the multi-disciplinarity of modern research. Interdisciplinary research collaboration is crucial for solving many pressing issues and challenges facing society today. Bringing together researchers and educators from different disciplines allows a more holistic understanding of complex problems, providing also the opportunity for new learning and for collaboration on complex projects. Beyond its scientific merits and value, Inter-Academia also promotes a culture of intellectual diversity, innovative thinking, and global perspective that can foster breakthrough discoveries, unexpected advancements in research, and, last but not least, a sense of belonging to a global community. Being established in 2002, the Inter-Academia Community currently gathers researchers from 14 leading Universities in Eastern and Central Europe, together with Shizuoka University, in Japan. As such, the Inter-Academia Community serves as a strong bond across continents, allowing the development of a number of global projects for student and researcher mobility, with a significant impact on the broader scientific community. The peer-reviewed papers included in this book hopefully stimulate further interactions and collaborations covering both fundamental and applied research, with benefits for the global society.
    DOI: 10.1007/978-3-031-54450-7
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    Biologically Inspired Cognitive Architectures 2023 : Proceedings of the 14th Annual Meeting of the BICA Society (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031503818
    Language: English
    Pages: 1 Online-Ressource(XXIII, 1048 p. 375 illus., 275 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1130
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Neural networks (Computer science).
    Abstract: The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
    DOI: 10.1007/978-3-031-50381-8
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    Advances in Intelligent System and Smart Technologies : Proceedings of I2ST’23 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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
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    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.
    DOI: 10.1007/978-3-031-47672-3
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978205
    Language: English
    Pages: 1 Online-Ressource(XX, 535 p. 231 illus., 183 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 819
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Comparative Analysis of various SRAM bit cells for 32nm technology node -- Uncovering the Threat: Exploring Covert Channel Attacks via Audio Files in Android Applications -- Emotion Recognition through Facial Expressions from Images using Deep Learning Techniques -- Optimization of Process Parameters In The Abrasive Waterjet Machining Using Bees Algorithm -- Advancement on Steganography: A Review -- Ethereum Blockchain For Private Equity Crowdfunding : Enabling Seamless USDC and Share Token Transactions -- Graph Convolutional Neural Network for IC50 Prediction Model using Amyotrophic Lateral Sclerosis Targets -- Cardiovascular Disease Prediction using Deep Learning Models -- Classification of Skin Cancer Using Integrated Methodology -- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays -- Cyber - Crime Analysis of India using Machine Learning -- Mapping a Conceptual Model of Color Forecasting: A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency -- Estimation of Net Primary Productivity using CASA Biosphere Model in Hyderabad and Roorkee Region of India -- Machine Learning Models for Chronic Renal Disease Prediction -- ARTHRO - Knee Osteoarthritis Detection Using Deep Learning -- Improvised Real Time Tweet Analysis for Brand Recognition -- AI Based Facial Emotion Recognition -- Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem -- Development of An Event-based Dataset For Abnormal Activity Detection -- Media Text Analysis based on One-Dimensional Hashtag Embeddings -- Occluded Face Recognition using Non-global Features Extraction and K-means Clustering Algorithm -- Brain Tumor Segmentation Using Gaussian Based U-Net Architecture -- Utility of smoothing techniques in yield curve modeling for non-steady state data of Sri Lanka capital market -- WSN based secure and energy efficient smart parking management system (SPMS)using FFA-ANN -- Multilingual approach to decode Shree Rama Prashanavali using Character Recognition and String Matching -- An enhanced approach for automatic sound event detection using neural networks -- Detecting Issues Related to Environmental, Social, and Corporate Governance using SEC-BERT -- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imagine -- Face Counting based on pre-trained machine learning models: A brief systematic review -- A Machine Learning - Driven Soil Nutrient, and Crop Yield Recommendation Platform with Pesticide Suggestions -- A Machine Learning Approach to optimize the water consumption for irrigation of rice crop -- Raithubot: An RLHF-Finetuned Telugu Chatbot for Farmers -- UAV Enabled Systems for Industry 4.0: Applications and Challenges -- User Reception is Everything: Using a Neural Network to Predict iOS App Ratings -- A Survey of Motion Prediction for Autonomous Vehicles using the Lyft Dataset -- Dengue Fever Outbreak Prediction using Machine Learning Models: A Comparative Study Dengue Fever -- Improved Appearance Model for Handling Occlusion in Vehicle Tracking -- Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing using Deep Learning -- Construction of Substitution Box from Nordstrom-Robinson (N16) Code -- Natural Language to Unified Modeling diagrams A Deep Learning Approach -- Time-dependent Enhanced Personalized Semantic Map-based Transportation Mode Recommendation System -- Web Based Threat Identification Using Classification Algorithm.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7820-5
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    New Perspectives in Software Engineering (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031505904
    Language: English
    Pages: 1 Online-Ressource(XVII, 410 p. 136 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1135
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.
    DOI: 10.1007/978-3-031-50590-4
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031520907
    Language: English
    Pages: 1 Online-Ressource(XIV, 328 p. 164 illus., 145 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 871
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Mobility -- Low-Cost Robotic System of Detection of Anti-Personal Metal Mines -- Life cycle assessment of the Polyethylene Terephthalate (PET) waste bottles recycling process of a local industry in Guayaquil -- Flood risk analysis in an Andean watershed by integrating satellite data and multicriteria analysis. -- Assessing the Growth of Electric and Hybrid Vehicles in Ecuador’s Transportation Sector: A Technical Analysis of Their Impact on the Energy Matrix -- Evaluation of urban freight distribution in a medium-sized city: Ecuadorian case study -- Assessing the Performance of Electric Bicycles for Active Commuting in Higher Education: A Case Study of the UPS Cuenca Campus -- Analysis of Energy Efficiency Electric Vehicles Using a Driving Cycle on an Established Route in the City of Ambato -- A Systematic Literature Review of Tire Management in Ecuador -- Analysis of Cycle Gait on Different Surfaces using Inertial Sensors -- Data analysis applied to driver profile data obtained through vehicle telemetry and classification algorithms -- Development of an LSTM-based Model with Attention Mechanism for Detection of Traffic’s Officer Hand Gestures for Autonomous Vehicles in Ecuador -- Urban Digital Twins for Synthetic Data of Individuals with Mobility Aids in Curitiba, Brazil, to Drive Highly Accurate AI Models for Inclusivity -- English language teaching through the use of immersive environments supported by virtual reality -- Design and Implementation of Photovoltaic Energy Storage Systems Based on Batteries of Hybrid cars using a Second- Life Method -- Bibliometric review on a hybrid learning model with VLEs from a higher education context -- Part II: Sustainability and environment -- Simulation of the Flow behavior in the storage tank of a Hydropower using OpenFOAM -- Exploring the norm activation model together with external influences and environmental moral values: The case of Guayaquil, Ecuador -- Methodological application proposal for energy-electrical evaluation of National Polytechnic School in the context of a sustainable campus -- Louver of coconut fiber and sawdust bonded epoxy resin -- Design Of A Solar Photovoltaic Led System For Outdoor Illumination -- Treatment Of Liquid Effluents From Post-Harvest Flowers Through Advanced Oxidation -- Simulation of Synchronized Controls in Circuit Breakers of Power Transformers and Operation of Reactive Compensation Banks -- Spatial modeling of dissolved oxygen in wastewater from the Quebrada ¨Ortega ¨ of the Quito canton, Pichincha province -- Feasibility analysis of a photovoltaic power generation system using different charge controllers -- Analysis of Aluminum Can Management in Ecuador -- Impact of hydroponic green fodder: A comparative study on the quality of fresh cheese -- Intelligent Monitoring System for fry rearing using Fuzzy Logic -- Automatic classification of squat execution based on inertial sensors and machine learning -- Marine Predator Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization -- Foot Pathology Analyzer.
    Abstract: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-52090-7
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990405
    Language: English
    Pages: 1 Online-Ressource(XVIII, 481 p. 215 illus., 156 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 869
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. Comparative study of various machine learning techniques for Parkinson disease detection based on handwriting -- 2. A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing -- 3. Fingerprint Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network -- 4. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms -- 5. Media Steganography Using CNN With Blockchain Enabled Secure File Transfer -- 6. Diagnosing ADHD and Personality Disorders as per DSM-5 using Novel APK, PDPK and DDPK Machine Learning Algorithms -- 7. Inception Time Model for Structural Damage Detection using Vibration Measurements -- 8. Exploring Challenges and Innovations in E-commerce Recommendation Systems: A Comprehensive Review -- 9. Enhanced Ensemble Classifiers for Heart Disease Prediction -- 10. Study of RNN with its CNN based hybridization for temporal remote sensing data processing to map rabi crops.
    Abstract: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-99-9040-5
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    Ethics and Artificial Intelligence : Towards a Moral Technology (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031509025
    Language: English
    Pages: 1 Online-Ressource(VIII, 83 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 519
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering.
    Abstract: It is a book made up of questions, some without certain answers, that attempts to open the reader's mind to new and, perhaps, futuristic scenarios. There are two diametrically opposed approaches to artificial intelligence today. On the one hand, there are the techno-pessimists who see only dystopian scenarios and experience technological progress with apprehension, emphasising the dangers, and on the other hand, there are the techno-optimists who, on the other hand, tend to overestimate the positive effects, going so far as to attribute almost thaumaturgic virtues to technological progress. Our approach is meant to be secular and scientific; the risks must not be concealed, nor must they be overestimated, just as the positive aspects must not be emphasised. And, in any case, as in any social phenomenon, the governance of processes and the definition of a system of rules and policies are the aspects that can create advantages or disadvantages and, above all, can determine who are the beneficiaries of the advantages and who have to bear the disadvantages. Like any new technology, this too can be dehumanising, but technology is a tool that depends on how it is used and by whom it is used. that of ethics is, therefore, a fundamental aspect. Therefore, one should neither be a techno-optimist nor a techno-pessimist, but should be aware that governing the economic and social structural changes that the advent of artificial intelligence will cause will be crucial to ensure prosperity for future generations and to avoid negative and even apocalyptic scenarios. So no futurist dystopias! Humanity has so far always been able to govern technological progress, it certainly has the potential to govern what some have called 'the Final Invention', but it will only succeed if it is able to understand the peculiarities of this new process of technological development and give it ethical content.The book provides a thoughtful review of the relationship between artificial intelligence and ethics, approaching the issue from different perspectives: philosophical, technological, economic and legal. This will be one of the most important issues that Humanity will have to face and resolve.
    DOI: 10.1007/978-3-031-50902-5
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    Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 – Workshop on Computational Optimization (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031573200
    Language: English
    Pages: 1 Online-Ressource(X, 315 p. 86 illus., 60 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1158
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Abstract: 1. Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 2. Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 3. Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 4. Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 5. Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 6. Application of Methaeuristics for Agricultural System Modelling -- 7. Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 8. Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 9. Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 10. Surrogate Estimators for Complex Bi-Level Energy Management, etc.
    Abstract: The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
    DOI: 10.1007/978-3-031-57320-0
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    Advances in Tourism, Technology and Systems : Selected Papers from ICOTTS 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997657
    Language: English
    Pages: 1 Online-Ressource(XIV, 551 p. 121 illus., 96 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 383
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Competencies and Skills for Tourism Education Advancement: A Bibliometric Analysis and Literature Review -- The importance of Food & Beverage Service in the cruise passengers -- Environmental sustainability of social and executive events in Ciudad Juárez, Mexico -- Health and economy: a necessary relationship to face the path towards sustainable development in latin america and the caribbean, post covid -- Covid 19 and the challenge of the health, tourism, and economic sectors, towards the path of sustainable development in Latin America and the Caribbean -- The importance of foreign language mastery in the tourism sector -- Tourism Destination Branding as a Marketing Factor: A Short Literature Review with a Focus on Northern Cyprus -- The reality of Blockchain Technology for the Digital Business world -- The Influence of Business Cycles on Corporate Performance: Evidence from Outdoor tourism -- Marketing trade-offs in periods of low and high munificence: A study of tourism enterprises in Uruguay -- Development of a Mobile App as an adjuvant treatment for thermal context patients -- Validation of a Mobile App as an adjuvant treatment for thermal context patients: a randomized controlled trial protocol -- Dark Heritage Tourism in Portugal: a resource to explore -- Adventure tourism in Santo Domingo Province based in an educational proposal -- Sustainable education and the challenges of the contemporary world -- Space tourism: Progress, obstacles and growth prospects bearing in mind public and private projects -- Understanding the Complexities of Leadership and Intersectionality in Women in Tourism Research: A Conceptual Analysis -- The application of information technologies for agrotourism in the municipality of Guapotá, Santander, Colombia -- Dance as representative body language of various Amazonian cultures -- The role of familiness and cultural heritage in touristic family-owned restaurants of Juarez, Mexico -- The Impact of Information Technologies on the tourist experience: Caseof Tabasco, Mexico -- Archaeological Tourism in Pacto - Pichincha based in a tourist educational proposal -- Best Evacuation Simulation Strategies – Analysis of a River Cruise Ship Case -- Local gastronomy and the role of confraternities in tourism valorization. The confraternity of bucho raiano in the promotion of inland tourism -- Music Events, Sustainability and Accessibility: Case Study on the Coldplay Tour in Brazil -- Sustainability and Technological Advancements in Tourism Events: the case of Electric Love Festival (Salzburg, Austria) -- Landscape and nature tourism activities evaluation through social networks -- Attachment theory and sense of place for visitors to Kaz-begi National Park -- The construction of the brand narrative through the creation of corporate museums -- Structuring a gastronomic route on the local sweets and other cultural heritage: The case of The Route of Arouca’s Sweet Secrets -- Cultural Indicators as a Tool for Assessing Sustainable Development in the Alto DouroWine Region -- Itineraries of memory and historical recreation based on mental maps: A Study in Lamego, Portugal -- Community and tourist’s perceptions as contributions to Rural destination development: the Fontoura collab framework pilot -- Building an Irresistible Shopping Experience: The Power of Personality, Subjective Well-Being and Parasocial Relations on the Online Impulse Buying Tendency -- Social media as a marketing strategy in hospitality: case study of the Braga city -- Exploring Tourism Potential in Muş: Embracing Unique Experiences in an Undeveloped Region -- Egocentric networks design in tourism’s indigenous social enterprises -- Motivations of Youth Tourism: The Case of University Students in the Porto and North Region -- Application of Artificial Intelligence in companies in the tourism sector: the case of chatbots -- Rural and community tourism: An alternative in postdevelopment -- Practitioners' Perception Regarding Bio Certified Food in Public Food Units in Brasov -- The influence of the Covid-19 crisis on financial statements manipulations in the Portuguese wine and tourism sector -- Artificial intelligence in education in Cape Verde: potential and challenges -- The climate in different tourist locations affecting chil- dren with bronchial asthma -- Robotics evolves the industry tourism: advantages and challenges -- Young people with asthma on vacation at Aqua Park - Esmeraldas -- The impact of health and wellness tourism on tourists' physical, mental, and emotional balance.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
    DOI: 10.1007/978-981-99-9765-7
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    Fuzzy Cognitive Maps : A Tool for the Modeling and Simulation of Processes and Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031379598
    Language: English
    Pages: 1 Online-Ressource(XVII, 133 p. 33 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 427
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction to Fuzzy Cognitive Maps -- Systemic Relationships Between Regional Sustainability and Waste Management -- Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model -- Rethinking the Set of Concepts - Applying Expert Analysis by the Workshop Method -- Model Reduction Methods -- Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series -- Behavioral Analysis of Fuzzy Cognitive Maps -- Fuzzy Cognitive Maps: Mathematical Challenges -- Dynamics of Classical Fuzzy Cognitive Maps -- Dynamics of Fuzzy Cognitive Maps with Uncertain Weights.
    Abstract: This book is considered as a monograph but also as a potential textbook for graduate students, focusing on the application of FCMs for modelling and analysing the behaviour of multicomponent systems. In the last two decades, no monograph or textbook has been published on the topic Fuzzy Cognitive Maps (FCM), so this new book is definitely filling a gap in the literature of computational intelligence. The book is built up didactically, the novel results in the field being presented in the way of starting with two real-life case studies, one in the area of waste management, while the other one in modelling bank management systems. In both cases, the book starts with explaining the applied problem and then presenting how the model construction is done and what problems emerge when attempts are made for applying directly earlier results on FCM modelling. In the first case study, the problem of the oversimplification leads to inadequacy of the model, and then it is shown how new, much finer models can be built up based on expert domain knowledge. Then, the new problem of losing transparency and interpretability emerges, and as a solution, a new algorithm family is proposed that reduces FCMs to fewer components, while preserving the essential characteristics of the original model. The second case study raises the problems of stability and sensitivity of FCMs, especially, considering that expert knowledge is often uncertain and subjective. The new results summarised in the book target the questions of how to ascertain whether an FCM is converging to one or several fixed point attractors, whether there is a bifurcation when parameters are changing, etc. Both problems deal with the ultimate question whether the system modelled is stable and sustainable.
    DOI: 10.1007/978-3-031-37959-8
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    Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479090
    Language: English
    Pages: 1 Online-Ressource(XIV, 226 p. 110 illus., 107 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 35
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Electrical engineering. ; Artificial intelligence. ; Energy policy. ; Energy and state.
    Abstract: AI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings.
    Abstract: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
    DOI: 10.1007/978-3-031-47909-0
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    Explainable Uncertain Rule-Based Fuzzy Systems (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    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
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    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.
    DOI: 10.1007/978-3-031-35378-9
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    Multidimensional Signals, Augmented Reality and Information Technologies : Proceedings of 3DWCAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819970117
    Language: English
    Pages: 1 Online-Ressource(XII, 384 p. 214 illus., 156 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 374
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Image processing.
    Abstract: Part I: Multidimensional Signal Processing -- Chapter 1. Design and Optimization of Steering-by-wire System for FSAC Racing Car -- Chapter 2. New Approach for Soil Moisture Prediction Based on Multiple Influencing Factors -- Chapter 3. Fuzzy PID Control of Brushless DC Motor Based on the Improved Bat Algorithm -- Chapter 4. Monocular Stereo Learning Based on Hybrid Attention Transformer -- Chapter 5. Prediction of Tool Remaining Useful Life of NC Machine Tool based on DTW Algorithm and LSTM Neural Network -- Chapter 6. Research on Online Detection Device and Method of Corn Grain Crushing Rate -- Chapter 7. Maize Kernels Endosperm Feature Extraction Based on Genetic Algorithm Image Enhancement -- Chapter 8. Data Balancing of Ceph Distributed Storage System Based on Deep Reinforcement Learning -- Chapter 9. The Fault Detection Method of the Seismic Image Based on Semantic Segmentation -- Part II: Augmented Reality and Deep learning -- Chapter 10. Analysis on Grey Space Form and Simulation Evaluation in Landscape Design -- Chapter 11. 3D Animation Design and Production Based on Intelligent Algorithm and Virtual Reality. etc.
    Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at Second 'World Conference on Intelligent and 3-D Technologies' (WCI3DT 2023), held in China during May 26–28, 2023. The book provides an opportunity to researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications and other related areas. The book presents ideas and the works of scientists, engineers, educators and students from all over the world from institutions and industries.
    DOI: 10.1007/978-981-99-7011-7
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    Artificial Intelligence and Autoimmune Diseases : Applications in the Diagnosis, Prognosis, and Therapeutics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990290
    Language: English
    Pages: 1 Online-Ressource(XIX, 323 p. 67 illus., 62 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1133
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical informatics. ; Quantitative research.
    Abstract: Autoimmune Disorders: Types, Symptoms and Risk Factors -- Immune System and Autoimmunity: Cellular and Molecular Mechanisms -- Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis and Prevalence Rate -- The Role of Artificial Intelligence and Machine learning in Autoimmune Disorders -- Autoimmune Autonomic Disorder: AI-based Diagnosis and Prognosis -- Detection of Rheumatoid Arthritis using CNN in Autoimmune Diseases Disorders -- The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis -- Exploring State-of-the-art CNN Models for Early Detection of Multiple Sclerosis using MRI Images -- AI-assisted Model for Risk Detection of Autoimmune Diseases -- Artificial Intelligence in the Diagnosis and Treatment of Rheumatoid Arthritis: Current Status and Future Perspectives -- Data Analytics for Diagnosis, Tracking, and Treatment Planning in Autoimmune Diseases using AI -- Role of Artificial Intelligence in the Treatment Management of Psoriatic Arthritis -- Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis and Treatment of Rheumatoid Arthritis: Case Studies -- Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies -- Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies -- AI-empowered Prediction of Prognosis and Treatment Response in Rheumatoid arthritis.
    Abstract: The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases.
    DOI: 10.1007/978-981-99-9029-0
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 4 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978144
    Language: English
    Pages: 1 Online-Ressource(XX, 545 p. 244 illus., 201 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 821
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    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Crop Classification Using Deep Learning on Time Series SAR Images: A Survey -- Improvement of the Teaching-Learning Process using Feature-Driven Opinion Mining of Stakeholders Comments -- Safeguarding Privacy and Security in the Internet of Vehicles: Current and Emerging Strategies -- Two Factor Authentication for Internet of Drones using PUF and Blockchain -- REXOBOT- Simplifying Rescue Operations using Arduino -- Design and analysis of a dual-band wearable antenna integrated with an AMC reflector for biomedical applications -- An optimized approach for Sarcasm Detection using Machine learning Classifier -- Medical Image segmentation Using Deep Learning Method -- Implementation of Solar Array Integration with PID & MPPT(P&O) Incorporating Input Variations -- Cemetery Allocation Management System Using Ethereum Blockchain -- An Efficient Predictive Resource Analysis using Deep Dyna Q-based VARMA LSTM Model for Fluctuating Cloud Workloads -- SIW based H-plane dual horn radiator for next generation wireless communication -- RNN based model predictive control of multi agent system using switching topologies -- LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Medifan-Lane Positioning for Prototype Autonomous Vehicle -- Enhancing Federated Learning Performance for IoT Anomaly Detection under Label-Skewed Data -- Panel Data Analysis to Investigate Factors Influencing Profitability: Empirical Study on Indian Oil and Gas Companies -- Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer using Advanced Analytics and Machine Learning Techniques -- Design and Development of energy harvesting system for wireless local area Network -- Hybrid Principal Component Analysis Using Boosting Classification Techniques: Categorical Boosting -- Moth swarm algorithm with centre-based sampling technique for the optimal operation of a hybrid power system incorporating static synchronous compensator -- Land use and land Change detection of the eco system by processing Sentinel images -- An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques -- Machine Learning-based Detection of API Security Attacks -- A Comparative Study on End-to-End Learning for Self-Driving Cars -- Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches -- Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm -- A Deep Learning based Framework for Android Malware Family Classification -- iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart -- ANDROID-BASED MALARIA DETECTION USING DEEP LEARNING -- Recuperating Image Captioning with Genetic Algorithm and Red Deer Optimization: A Comparative Study -- A Radial Basis Function Neural Network trained with Aquila Optimizer for Solving Inverse Modeling Problems -- Future Generation Elastic Optical Networks: A State-of-Art Review -- Empirical analysis on fake news detection using feature extraction & feature optimization techniques -- Enhancing the Performance of Heart Disease Prediction Models with Ensemble Learning -- Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks based on Various Pre-trained Models -- Hyperparameter Optimization of Machine Learning Models using grid search for Amazon Review Sentiment Analysis -- Towards the testbed and dataset for analysis of water treatment systems security -- Accurate Prediction of Stage of Hepatitis C Virus through a Stacking Ensemble -- Alzheimer Brain Imaging Dataset Augmentation using Wasserstein Generative Adversarial Network -- FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model -- 2D Medical Image Segmentation.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7814-4
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    Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819979547
    Language: English
    Pages: 1 Online-Ressource(XII, 707 p. 385 illus., 318 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1106
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence ; Artificial intelligence.
    Abstract: Machine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis – A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
    Abstract: This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
    DOI: 10.1007/978-981-99-7954-7
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    Artificial Intelligence: Theory and Applications : Proceedings of AITA 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984763
    Language: English
    Pages: 1 Online-Ressource(XIX, 489 p. 211 illus., 185 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 843
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data.
    Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
    DOI: 10.1007/978-981-99-8476-3
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS´2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031519826
    Language: English
    Pages: 1 Online-Ressource(XIV, 340 p. 180 illus., 154 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 870
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Industry -- Numerical study through CFD of the behavior of a centrifugal fan for dust extraction systems -- Optimization of the stamping process of oven sides panels for domestic cooking through finite element modeling -- Topological optimization of swing arm for electric motorcycles -- Micromechanical modeling of biobased sisal polylactic acid compounds -- A Proposal of a Fair Voting Ensemble Classifier Using Multi-Objective Optimization -- Physical-Chemical Characterization of Cocoa Oil Subjected to an Accelerated Fermentation Process -- Control system for a cacao drying process: case study cylindrical dryer -- Comparative study of multivariate statistical methods for predicting the academic performance of students at the University of Guayaquil -- Calculation of the efficiency of an electromagnetic coil according to the induction resistance of the pot -- Development of a Control System for a Biomechanical Prosthetic -- The Impact of Intranet Use on Internet Sales During COVID-19: A Study of Companies in Ecuador -- Embedded Systems for Tracking and Detection of Pets through an IoT Network -- Mobile Application for Online Procedures in the Municipality of San Miguel de Ibarra -- Assessment of decommissioning cost of proton therapy centers depending on the shielding material in the building process -- Vehicular Ad-Hoc Network (VANET) -- Part II: Infotelecom -- Use of leaderboards to gamified drive student performance as a motivational strategy in VLE environments -- Microlearning as a learning consolidation strategy for the university blended learning modality in a VLE -- Physical and Organoleptic Evaluation of 12 Cocoa Clones (Theobroma cacao L.) of National Type, in Cocoa Liquor – A Study from Ecuador -- External factors and socioeconomic influence on users acceptance of online payments -- Proposal of evaluation cases for the standardization of the validation activities of neutron unfolding codes -- Function and Management Emulation of CEDIA Backbone: The Ecuadorian Advanced Network Updated From IPv4 to IPv6 -- Implementation of an Intelligent Platform for Sustainable Urban Water Consumption Management: A Case Study of Digital Transformation in Zaruma City, Ecuador -- Governmental portal of the National Transit Agency of Ecuador: Web usability aspects and user satisfaction aimed at the elderly. -- Development of a Web Application for evaluating corporate social responsibility practices -- Performance evaluation of an internet-of-things platform based on open-source -- Development and evaluation of an intelligent chatbot for the management of citizen procedures in the GAD San Miguel de Ibarra -- Software for Speech Therapy Support Through PECS Oriented to Digital Learning Environments For Children With Moderate ASD -- Development of a Brain-Computer Interface to Control Finger Movements of a Robotic Hand -- Proposal of an Agile Approach based on Scrum for Managing Continuing Education Programs -- Development of a Compact Synchrotron Proton Therapy Center Model for Monte Carlo-Based Radiation Protection Studies.
    Abstract: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-51982-6
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    Proceedings of ELM 2022 : Theory, Algorithms and Applications (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031550560
    Language: English
    Pages: 1 Online-Ressource(V, 81 p. 32 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Proceedings in Adaptation, Learning and Optimization 18
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Application of ELM model to the motion detection of vehicles under moving background -- Distributed memory-efficient algorithm for Extreme Learning Machines based on Spark -- Does streaming affect video game popularity? -- Massive Offline Signature Forgery Detection with Extreme Learning Machines -- Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification.
    Abstract: This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).
    DOI: 10.1007/978-3-031-55056-0
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    Proceedings of International Conference on Information Technology and Applications : ICITA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819983247
    Language: English
    Pages: 1 Online-Ressource(XXVII, 630 p. 194 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 839
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering.
    Abstract: This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.
    DOI: 10.1007/978-981-99-8324-7
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    Proceedings of the Second International Conference on Computing, Communication, Security and Intelligent Systems : IC3SIS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819983988
    Language: English
    Pages: 1 Online-Ressource(XVII, 410 p. 194 illus., 153 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Generation of histopathological images caption using CNN and LSTM -- Veg-Net: A Novel Method for Early Disease Diagnosis in Multi Fruits and Vegetables -- Modernizing the Car Registration Process in India: Implementing Blockchain Technology for Increased Transparency, Efficiency, and Security -- A Robust Approach for Categorizing and Fine-Grain Classification of Indian Ethnic Wear -- Synthetic Ancient Tamil Character Generation Using GAN -- Automatic Text Summarization: Methods, Metrics and Datasets -- Analysis of Stock Market Prediction for Future Trend using Machine Learning -- Deep Learning Model for Indian Fake Currency Detection -- A Two-Level Hybrid CNN Model for IoT Networks Attack Identification -- Wildfire Smoke Detection using Faster RCNN -- Sentiment Analysis for Cross-Lingual Kannada English Language Pair -- Clustered based Approach for Energy-Efficient Routing in Wireless Sensor Networks -- Emerging Trends In Deep Learning Models For Plant Disease Detection: A Review -- Motion FeatureAggregation for Video Object Detection using YOLO approaches -- Evaluating Different Image Segmentation Techniques for Improved Otoscope Image Diagnosis -- SIFT based Prickly Plant Identification System for Visually Impaired People -- A Review on Breast Cancer Detection for Digital Mammograms.
    Abstract: This book presents the best-selected research papers presented at the Second International Conference on Computing, Communication, Security & Intelligent Systems (IC3SIS 2023), organized by SCMS School of Engineering and Technology, Kochi, on July 06–07, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of computing, such as advanced computing, communication and networking, intelligent systems and analytics, 5G and IoT, soft computing, and cybersecurity in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers, academics, and industry practitioners.
    DOI: 10.1007/978-981-99-8398-8
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990436
    Language: English
    Pages: 1 Online-Ressource(XVIII, 426 p. 139 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 865
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis -- 2. An adaptive detection mechanism for IoT devices anomalies using AI/ML based on user pattern -- 3. Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools -- 4. Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences -- 5. An insightful analysis of pre-processing methods used in EEG signals for computer assisted cognitive domain -- 6. Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data set -- 7. A Survey on Feature Selection, Classification and Optimization Techniques for EEG Based Brain Computer Interface -- 8. Mean Teacher Model with Consistency Regularization for Semi-Supervised Detection of COVID-19 using Cough Recordings -- 9. Multimodal Early Fusion Strategy Based on Deep Learning Methods forCervical Cancer Identification -- 10. Comparing Online and Face-to-Face Training with Employees Perspective.
    Abstract: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-99-9043-6
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    Session-Based Recommender Systems Using Deep Learning (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031425592
    Language: English
    Pages: 1 Online-Ressource(XIX, 301 p. 99 illus., 71 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Information storage and retrieval systems. ; Artificial intelligence. ; Quantitative research.
    Abstract: 1. Introduction to Session-Based Recommender Systems -- 2. Deep Learning Overview -- 3. Deep Discriminative Session-Based Recommender Systems -- 4. Deep Generative Session-Based Recommender Systems -- 5. Hybrid/Advanced Session-Based Recommender Systems -- 6. Learning to Rank in Session-Based Recommender Systems.
    Abstract: This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
    DOI: 10.1007/978-3-031-42559-2
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    Intelligent Manufacturing System and Intelligent Workshop : Parameter Optimization, Process Planning, Workshop Scheduling, Typical Case (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819920112
    Language: English
    Pages: 1 Online-Ressource(VIII, 237 p. 78 illus., 41 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advanced and Intelligent Manufacturing in China
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Industrial engineering. ; Production engineering. ; Artificial intelligence.
    Abstract: Introduction to Intelligent Manufacturing -- Intelligent optimization of cutting parameters -- Intelligent Optimization of Process Plans -- Intelligent Workshop and Scheduling -- Intelligent Integration of Process Planning and Scheduling -- Case of Intelligent Manufacturing.
    Abstract: This book focuses on the basic common technologies of smart manufacturing system and smart workshop. The applications of artificial intelligence in manufacturing system have been addressed from different perspectives, for example, smart optimization of cutting parameters, smart process planning, smart workshop and scheduling, and smart integration of process planning and scheduling. In the process of writing, this book highlights the combination of basic theory and engineering practice. In the basic theory part, the book clearly explains the basic issues of smart manufacturing system, including the core support technology of smart manufacturing, the basic theories and models of cutting parameter optimization, process optimization and scheduling, and the basic concepts and intelligence of smart manufacturing workshop model, optimization methods, etc. In the engineering practice part, this book enumerates a large number of research cases, trying to clearly demonstrate the basic problems of manufacturing system intelligence, and each chapter is accompanied by typical cases to help readers better understand and master the basic theories involved in stamping.
    DOI: 10.1007/978-981-99-2011-2
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    Artificial Intelligence: Theory and Applications : Proceedings of AITA 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984794
    Language: English
    Pages: 1 Online-Ressource(XVIII, 532 p. 199 illus., 169 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 844
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data.
    Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
    DOI: 10.1007/978-981-99-8479-4
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477188
    Language: English
    Pages: 1 Online-Ressource(XII, 905 p. 448 illus., 340 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 825
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47718-8
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819980314
    Language: English
    Pages: 1 Online-Ressource(XXIII, 566 p. 170 illus., 143 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 812
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. A Study on Optimizing the Personalization of Recom-mendations & Customer Services Using Artificially Intel-ligent Neural Networks to Improve Electronic commerce -- 2. Conceptualization and frames of reference of the Teaching Digital Competence. An approach from Higher Education -- 3. Stroke risk stratification using neural networks -- 4. Vitiligo Detection Using Machine Learning Algorithms -- 5. Enhanced Monkey-Pox with image processing technology utilizing deep learning for classification -- 6. Location Information for Disaster Management and Infectious Disease Control Focusing on Japan -- 7. Information Technology Adoption in Legislative Work: The Lebanese Parliament Model -- 8. Energy Harvesting Technologies for Wireless Sensor Networks.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.
    DOI: 10.1007/978-981-99-8031-4
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    Advanced Techniques of Artificial Intelligence in IT Security Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031538544
    Language: English
    Pages: 1 Online-Ressource(V, 91 p. 38 illus., 35 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 146
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: Artificial neural networks -- Initialization of weights values in neural networks -- Convolution neural networks -- Application of artificial intelligence methods in profiling of computer network users -- Profiling users using the random forest algorithm -- Convolutional networks in user profiling -- User profiling using recurrent-convolutional networks -- Detection of network traffic anomalies using OC-NN.
    Abstract: The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
    DOI: 10.1007/978-3-031-53854-4
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  • 96
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    Information Systems for Intelligent Systems : Proceedings of ISBM 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819986125
    Language: English
    Pages: 1 Online-Ressource(XIV, 617 p. 250 illus., 197 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 379
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Business ; Artificial intelligence. ; Business information services.
    Abstract: This book includes selected papers presented at the World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, on September 7–8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
    DOI: 10.1007/978-981-99-8612-5
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  • 97
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    Soft Computing and Signal Processing : Proceedings of 6th ICSCSP 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984510
    Language: English
    Pages: 1 Online-Ressource(XXXVI, 643 p. 319 illus., 253 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 840
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cloud Computing. ; Internet of things.
    Abstract: Review Of Integrated Dashboard Model For Performance Measurements -- An Empirical Analysis Of Lung Cancer Detection And Classification Using CT Images -- Species Identification Of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Optimized Analysis Of Emotion Recognition Through Speech Signals -- Estimation Of Impurities Present In An Iron Ore Using CNN -- Convolutional Neural Network And Recursive Feature Elimination Based Model For The Diagnosis Of Mild Cognitive Impairments -- Secure Identity Based Authentication For Emergency Communication -- IOT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology -- Camera And Voice Control Based Human Computer Interaction Using Machine Learning -- Anomaly Detection In Classroom Using Convolutional Neural Networks -- Efficient Vlsi Architectures Of Multimode 2D Fir Filter Bank Using Distributed Arithmetic Methodology -- A Systematic Study And Detailed Performance Assessment Of SDN Controllers Across A Wide Range Of Network Architectures -- An Image Processing Approach For Weed Detection Using Deep Convolutional Neural Network -- Trust And Secured Routing In Mobile AD HOC Network Using Block Chain -- Underwater Image Quality Assessment And Enhancement Using Active Inference -- A Machine Learning And Deep Learning Based Web Application For Crop And Fertilizer Recommendation And Crop Disease Prediction -- The Hybrid Model Of LSB – Technique In Image Steganography Using Aes And Rsa Algorithm -- Secure Trust Based Attribute Access Control Mechanism Using FK-MFCMC AND MOEHO-XGBOOST Techniques -- Designing Multiband Patch Antenna For 5G Communication System -- Applications Of AI Techniques In Healthcare And Wellbeing Systems -- Intelligent One Step Authentication Using Machine Learning Model For Secure Interaction With Electronic Devices -- Development Of Automated Vending Machine For The Application Of Dispensing Of Medicines -- Multiband Micro-Strip Patch Antenna For C/X/KU/K Band Applications -- Islanding Detection And Prevention Of Blackout Of Distribution System Using Decision Tree Algorithm Based Load Shedding -- Propogation Of Computer Worms – A Study.
    Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
    DOI: 10.1007/978-981-99-8451-0
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  • 98
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    Brain-like Super Intelligence from Bio-electromagnetism (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702329
    Language: English
    Pages: 1 Online-Ressource(XIV, 349 p. 172 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Rhythm Engineering
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Bioinformatics. ; Artificial intelligence.
    Abstract: Chapter 1: Exploring the Possibility of Non-local Communication in Human Beings: an Empirical Test of the Information Field Hypothesis -- Chapter 2: HI Applications for ADHD Children: The Graphic Design Perspective -- Chapter 3: Relationship between Intelligence and Universal Consciousness -- Chapter 4: A Genre of Cognitive Evolutions Through Artificial Superintelligence and Robotics Technology -- Chapter 5: Probing the electromagnetic interaction in the protein -- Chapter 6: Revisiting self-operating mathematical universe (SOMU) as a theory for Artificial General Intelligence, AGI and G+ consciousness.
    Abstract: This book discusses various aspects of bioinspired technologies but with an additional emphasis on the medical science, starting from the popular article on neurobiology to pure biophysics that ends with the superintelligence of biological systems that could be reverse engineered. It covers eight different aspects of natural intelligence, starting from the fundamental electromagnetic properties of a protein to the vibrations and the resonance of the entire biomaterial system. It also covers a wide spectrum of hierarchical communication among different biological systems for intelligence and then medical science is applied.
    DOI: 10.1007/978-981-97-0232-9
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  • 99
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    Artificial Intelligence of Things for Achieving Sustainable Development Goals (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534331
    Language: English
    Pages: 1 Online-Ressource(XIV, 388 p. 105 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 192
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Environmental sciences ; Engineering
    Abstract: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.
    Abstract: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.
    DOI: 10.1007/978-3-031-53433-1
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  • 100
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522550
    Language: English
    Pages: 1 Online-Ressource(XIII, 354 p. 150 illus., 133 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 902
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: Proposal design of an autonomous photovoltaic plant on potentially liquefiable soil in the isolated rural community of Agua Fría, Ecuador -- Seismic design considerations for the installation of photovoltaic systems on flat reinforced concrete roofs: A case study in Ecuador -- A brief guide to the implementation of lean tools in the Ecuadorian context -- Analytical study of the behavior of tubular elements reinforced with natural fibers under dynamic loads -- Landstorfer antenna structure shaping based on parameterized parallel curves -- Solving the generation and transmission capacity expansion planning framework modeling the AC power flow problem and incorporating reactive compensation devices -- Reconstruction of the boundary condition of the convection–diffusion–reaction equation with automatic selection of the step length -- Assessing carbon capture, transport, and storage processes: A critical review -- Antenna densification in non-uniform linear and planar arrays -- Greinacher rectifier evaluation for WiFi band energy harvesting -- Experimental measurement of potential energy in stairways with hydraulic damping systems -- Vulnerability characteristics of wetlands in the Guaranda wasteland, central Ecuador – Implications of long-term sustainability -- Climate variability and its effect on flood risk through dynamic modeling in the Quigushuaycu stream -- Network Neutrality policies in the 5G South American market -- Evaluation of the internal temperature and hours of thermal discomfort produced by sunshine: Study of a hot dry climate -- Review of biomass and biopolymers synthesized in Ecuador -- Solar energy conversion systems thermal management applying constructal theory: a comparative analysis -- Quantification of the decrease of droplets expelled from the human respiratory tract during expiratory activities when using masks -- Impacts of park-and-ride systems on vehicle emissions in intermediate cities -- Machine learning regressors in forecasting mechanical properties in advanced manufacturing processes -- Comparative evaluation of performance efficiency in terms of temporal behavior and resource utilization, according to the ISO/IEC 25010 model, in a web application developed with Angular, React.js, and Vue.js -- Prediction models of oral diseases: A systematic review of the literature -- How can personal knowledge graphs contribute to precision nutrition? -- Interactive e-Books in mathematics learning: A systematic mapping study.
    Abstract: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52255-0
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