Wearable AI - The Future of Continuous Health Monitoring in the Metaverse (Hardcover, 1)

Preface. 1. Introduction: The Convergence of AI Wearables and the Metaverse. 2. The Evolution of Wearable Technologies: From Fitness Tracker to Intelligent Companions. 3. Wearable AI Architecture for Continuous Health Monitoring. 4. Cognitive and Neural Interfaces in Bridging Brain, Body, and Virtual Worlds. 5. Edge and Cloud Computing in Wearable AI Systems. 6. Remote Patient Monitoring in Immersive Health Platforms. 7. AI-Guided Fitness and Wellness in the Metaverse. 8. Rehabilitation and Neurotherapy through Immersive Environments. 9. Wearable AI and Metaverse Initiatives for Management of Rheumatoid Arthritis: Past, Present, and Future Perspectives. 10. Privacy, Security, and Data Governance in Continuous Monitoring of Wearable AI and Metaverse. 11. Digital Identity and the Self: Psychological Implications of Health in Virtual Worlds. 12. Vision 2035: The Next Frontier of Wearable AI and Immersive Healthcare. Index. About the Editors.

Artificial Intelligence for Sustainability : A Human-Centric Approach to Global Challenges (Hardcover)

1. Human-Centered Artificial Intelligence: Evolution, Challenges and Trends. 2. Framework for Green and Sustainable Human Centered AI: Challenges and Research Directions. 3. Human centered Artificial Intelligence and the education sector: A statistical Analysis. 4. Artificial Intelligence for Sustainable Value Creation and Goal Development. 5. Digital Twin and Human Centred AI for Sustainable Growth Development. 6. Trustworthy and Sustainable Edge AI: Human Centric Approach and Research Directions. 7. Augmented Agile: Human-Centered AI-Assisted Software Management for Sustainable Development. 8. Smart Logistics: Using Artificial Intelligence and Blockchain in Supply Chain Management. 9. Business value through human-centric AI: Case studies and Research Directions. 10. Towards an AI-Centric Requirements Engineering Framework for Trustworthy AI. 11. Human-centricity in AI governance: Use Cases, Challenges and Research Directions. 12. An impact of business value through human centric AI.

Artificial Intelligence in Neurofinance and Behavioral Finance : Decision Making for Sustainable Business Management (Hardcover)

Chapter 1 Development of Artificial Intelligence in Financial Services:? Pathway?? towards Digitalization? for Sustainability? Chapter 2 Artificial Intelligence in Financial Services: Structural Transformation, Emerging Risks, and the Question of Social Legitimacy Chapter 3 Green Ledgers and Carbon Algorithms: Deconstructing the Environmental Impact of AI in Financial Planning Chapter 4 The Role of Artificial Intelligence in Neurofinance and Behavioural Finance: Transforming Financial Decision-Making in the Digital Era Chapter 5 A Behavioral and AI-Driven Framework for Financial Behavior Prediction Chapter 6 Behavioral Biases and Neurofinance Perspectives in Sustainable (ESG) Investing: A Study on Indian Youth Chapter 7 Role of Artificial Intelligence? in Sustainable Investment? Toward Development? of? ESG? Framework? Chapter 8 Role of Artificial Intelligence in Data Collection: Analysis and Comparative Analysis? For? Sustainability? Chapter 9 Efficiency vs Accountability: AI Enhanced Strategic Decision Framework in Long Term Planning Chapter 10 AI, Sustainability & Global Equity: Impact of Artificial Intelligence in Long Term Planning Chapter 11 ?Artificial? Intelligence? in Strategic Decisions :? Opportunities and futuristic challenges?? Chapter 12 AI-Enhanced Strategic Framework for Supply Chain Risk Prediction and Operational Optimization Chapter 13 Building Ethical and Sustainable Enterprises through Generative AI and Behavioural Finance Chapter 14 Financial Behaviour and Neurofinance :? AI Data? Driven? Approach? for Development of? ESG? Framework \ Chapter 15 Profitability and Purpose: leveraging the metaverse for financial and social impact (for-profit and non-profit organizations Chapter 16 FinTech Adoption Among Students: Examining the Impact of Self-Efficacy and Perceived Risk?

A Configurational Approach to Complex Systems Analysis : Introducing The Kauzon Quadrant Model (Hardcover)

Preface??Part I. Theoretical Foundations of Configurational Systems Analysis??Chapter 1. Introduction: From Rankings to Configurations??Chapter 2. Beyond Scalar Analysis??Chapter 3. Theoretical Manifesto: The Ontological Shift from Scale to Structure??Chapter 4. Postulates of Configurational Systems Analysis Theory??Chapter 5. Fundamental Law and Declaration of Theoretical Position??Part II. From Theoretical Law to Analytical Architecture??Chapter 6. The Kauzon Quadrant Model (KQM): A Coordinate-Based Framework for Structural Position??Chapter 7. Analytical Interpretation of Structural Position in the KQM Space??Chapter 8. Formalization of the Kauzon Quadrant Model (KQM): A general algorithmic framework??Part III. Empirical Demonstration of Configurational Differentiation??Chapter 9. Configurational Analysis of National Research and Innovation Systems: An Empirical Application of the Kauzon Quadrant Model (KQM)??Chapter 10. Labour Market Demand and Typology of R&D Systems??Chapter 11. The Gender Paradox in Innovation Systems: A Configurational Perspective??Chapter 12. Health System Security: Structural Configurations and Resilience??Part IV. The Configurational Paradigm: Theory, Implications, and Future Research??Chapter 13. From Scalar Governance to Configurational Paradigm??Chapter 14. The Configurational Paradigm of Systems Analysis: Theoretical Synthesis and Future Research Agenda??Chapter 15. Conclusions and Future Research Agenda??Epilogue??References??Appendix A: Policy-Oriented Outputs of Configurational Systems Analysis??Index

Genetic Algorithms in Practice: Methods and Applications (Hardcover)

AI for Cybersecurity and Digital Forensics (Hardcover, 1)

Chapter 1 AI Requirements for Cybersecurity Practitioners Chapter 2 ML-based Attack Detection and Management Chapter 3 Deep Neural Networks for Intrusion Analysis Chapter 4 LLMs for Threat and Phishing Detection? Chapter 5 RL-based Adaptive Cyber Defence System Chapter 6 GNN-Based Social Media Forensics Chapter 7 AI-Integrated Digital Twin Forensics Chapter 8 Explainable AI and Governance Chapter 9 Post-Quantum Cryptography & Future Trends Chapter 10 Post-Quantum Cryptography and Its Implementation: Evolution, Standards, and Applications Chapter 11 AI-Driven Cyber Security for 5G/6G Networks and Multi-Tenant Telecom Platforms

Quantum Machine Learning : Theory, Algorithms, and Practical Implementation (Hardcover)

Preface. List of Abbreviations. Chapter 1: Introduction to Quantum Machine Learning. Chapter 2: Quantum Information and Mathematical Foundations for QML. Chapter 3: Classical Machine Learning Essentials for Quantum Machine Learning. Chapter 4: Quantum Algorithms Relevant to Machine Learning. Chapter 5: Quantum Data Encoding and Feature Maps. Chapter 6: Quantum Feature Spaces and Kernels. Chapter 7: Optimization Methods for Quantum Machine Learning. Chapter 8: Quantum Kernel Methods. Chapter 9: Variational Quantum Models. Chapter 10: Quantum Generative Models. Chapter 11: Quantum Reinforcement Learning. Chapter 12: Quantum Transfer Learning. Chapter 13: Quantum Linear Algebra for Machine Learning. Chapter 14: Learning Theory of Quantum Models. Chapter 15: Tensor Networks and Quantum-Inspired Machine Learning. Appendix. Bibliography.

Quantum Machine Learning : Theory, Algorithms, and Practical Implementation (Paperback)

Preface. List of Abbreviations. Chapter 1: Introduction to Quantum Machine Learning. Chapter 2: Quantum Information and Mathematical Foundations for QML. Chapter 3: Classical Machine Learning Essentials for Quantum Machine Learning. Chapter 4: Quantum Algorithms Relevant to Machine Learning. Chapter 5: Quantum Data Encoding and Feature Maps. Chapter 6: Quantum Feature Spaces and Kernels. Chapter 7: Optimization Methods for Quantum Machine Learning. Chapter 8: Quantum Kernel Methods. Chapter 9: Variational Quantum Models. Chapter 10: Quantum Generative Models. Chapter 11: Quantum Reinforcement Learning. Chapter 12: Quantum Transfer Learning. Chapter 13: Quantum Linear Algebra for Machine Learning. Chapter 14: Learning Theory of Quantum Models. Chapter 15: Tensor Networks and Quantum-Inspired Machine Learning. Appendix. Bibliography.

The Algorithmic Society : Technology, Power, and Knowledge (Hardcover, 2 ed)

1. The Algorithmic Society: An Introduction ALGORITHMIC GOVERNANCE?2. The Data-Level Bureaucracy: AI, Algorithms, Data Mobilities and Discretionary Space in Algorithmic Governance 3. Governing by Algorithms and Algorithmic Governmentality: Towards Machinic Judgement 4. Algorithmic Regulation: Machine Learning as a Governance Tool 5. Responsible and Accountable Algorithmization: How to Generate Citizen Trust in Governmental Usage of Algorithms 6. Towards Principles of Good Digital Administration: Fairness, Accountability and Proportionality in Automated Decision-Making ALGORITHMIC JUSTICE?7. The Seductiveness of Fairness: Is Machine Learning the Answer? ? Algorithmic Fairness in Criminal Justice Systems 8. Rethinking Predictive Policing: Towards a Holistic Framework of Democratic Algorithmic Surveillance 9. Algorithmic Reasoning: The Production of Subjectivity Through Data 10. Just Innovation? The Birth of ELSA Labs in an AI Ecosystem ALGORITHMIC CITIES?11. Smart City Imaginaries: Looking Beyond the Techno-Utopian Vision? 12. Sense in the (Smart) City: Where Personalisation is the Political 13. Inclusive Data Usage for Democratic Debate in Cities: The Role of Intermediaries 14. Five Smart City Futures: A Criminological Analysis of Urban Intelligence 15. Understanding the Algorithmic Society: Concluding Thoughts

The Algorithmic Society : Technology, Power, and Knowledge (Paperback, 2 ed)

1. The Algorithmic Society: An Introduction ALGORITHMIC GOVERNANCE?2. The Data-Level Bureaucracy: AI, Algorithms, Data Mobilities and Discretionary Space in Algorithmic Governance 3. Governing by Algorithms and Algorithmic Governmentality: Towards Machinic Judgement 4. Algorithmic Regulation: Machine Learning as a Governance Tool 5. Responsible and Accountable Algorithmization: How to Generate Citizen Trust in Governmental Usage of Algorithms 6. Towards Principles of Good Digital Administration: Fairness, Accountability and Proportionality in Automated Decision-Making ALGORITHMIC JUSTICE?7. The Seductiveness of Fairness: Is Machine Learning the Answer? ? Algorithmic Fairness in Criminal Justice Systems 8. Rethinking Predictive Policing: Towards a Holistic Framework of Democratic Algorithmic Surveillance 9. Algorithmic Reasoning: The Production of Subjectivity Through Data 10. Just Innovation? The Birth of ELSA Labs in an AI Ecosystem ALGORITHMIC CITIES?11. Smart City Imaginaries: Looking Beyond the Techno-Utopian Vision? 12. Sense in the (Smart) City: Where Personalisation is the Political 13. Inclusive Data Usage for Democratic Debate in Cities: The Role of Intermediaries 14. Five Smart City Futures: A Criminological Analysis of Urban Intelligence 15. Understanding the Algorithmic Society: Concluding Thoughts

Machine Learning-Based Personalized Recommendation Algorithms and Their Applications (Hardcover, 1)

1. Introduction? 2. Theoretical Foundations of Machine Learning? 3. Theoretical Foundations of Personalized Recommendation Algorithms? 4. A Frequent Itemset Mining Algorithm Using a Novel Three-Dimensional Itemset Matrix and Vectors? 5. Collaborative Filtering Algorithm Integrating Penalty Factors and Temporal Weighting? 6. Collaborative Filtering Algorithm Based on User Attributes and Item Ratings? 7. Prototype System for Personalized Book Recommendation? 8. Conclusions and Future Work

Recommendation Algorithm Practice at Major Internet Companies (Hardcover, 1)

1. Introduction to Recommender Systems? 2. Feature Engineering in Recommender Systems? 3. Embedding in Recommender Systems? 4. Fine Ranking? 5. Recall? 6. Coarse Ranking and Re-Ranking? 7. Multi-Task and Multi-Scenario Recommendation? 8. Cold Start? 9. Evaluation and Debugging? 10. Self-Development for Recommendation Algorithm Engineers

AI Powered Healthcare in the Metaverse : Virtual Ecosystems (Hardcover)

Preface. 1. The Convergence of AI and Metaverse: A New Era in Healthcare. 2. Virtual Hospital in the Metaverse: The Future of Healthcare Delivery. 3. AI Powered Digital Twins: Real Time Healthcare Monitoring. 4. MetaDiagnostics with AI-Powered Healthcare beyond Reality. 5. MetaCare Revolution in AI-Driven Personalized Medicine in the Virtual World. 6. Smart Scalpel: The Triple Revolution Transforming Precision Surgery in Metaverse Healthcare Ecosystems. 7. Mental Health in the Metaverse: AI-driven Virtual Therapies. 8. Virtual Reality in Rehabilitation: Redefining Patient Recovery with AI. 9. AI-Powered Wearables and Continuous Health Monitoring: Innovations, Challenges, and Future Prospects. 10. Training the Healthcare Workforce: Virtual Simulations and AI. 11. AI for Global Healthcare Equity: Bridging Healthcare Gaps in the Metaverse. 12. The Role of Blockchain and AI in Securing Health Transactions in the Metaverse. 13. Artificial Intelligence, Metaverse, Blockchain Mediated Diagnosis, Prevention and Treatment of Alzheimer’s Disease. 14. Limitations And Challenges of AI and Metaverse in Healthcare Applications. Index.

Service-Oriented Computing - Icsoc 2025 Workshops: Satellite Events and Artifacts, Shenzhen, China, December 1-4, 2025, Revised Selected Papers (Paperback)

Service-Oriented Computing - Icsoc 2025 Workshops: Asoca, Ai-Pa, Sqs, Soc4ai, Sici, Rems, Dcai4ia, Socaisa, Shenzhen, China, December 1-4, 2025, Revis (Paperback)

Combinatorial Optimization and Applications: 18th International Conference, Cocoa 2025, Tianjin, China, November 28-30, 2025, Proceedings (Paperback)

Bio-Inspired Next Generation Optimizing and Computing Algorithms (Hardcover)

Network Model Selection: A Review of Methods (Paperback)

Computing Technologies and Mathematics: CTM 2025, Bukhara, Uzbekistan, January 25-27, 2026 (Hardcover)

Discount Quality for Responsible Data Science: Human-In-The-Loop for Quality Data (Paperback)

Frontiers in Data Engineering and Retrieval Systems: International Conference on Data Management and Information Retrieval (Polkowice, Poland, Novembe (Hardcover)

Quantum Searching and Optimization Algorithms : A Comprehensive Guide (Hardcover)

1. Introduction. 2. Quantum Gates. 3. Quantum Circuits and Parallelism. 4. Quantum Algorithms. 5. Quantum Cryptography and Security. 6.?Quantum Error Correction and Fault Tolerance.?7. Quantum Programming and Software.?8. Quantum Hardware and Technology.?9. Quantum Machine Learning. 10. Applications of Quantum Computing.?11. The Future of Quantum Computing. 12.?Ethics, Society and Global Perspectives in Quantum Computing. 13. Conclusion.

Th?rie Des Graphes (Paperback)

Decentralized Futures : Navigating the Integration of Blockchain Technology with Artificial Intelligence (Hardcover)

Chapter 1 Introduction to Blockchain Technology: A Revolutionary Paradigm Shift Chapter 2 Integrating Internet of Things (IoT) and Blockchain: Current Applications, Challenges, and Future Perspectives? Chapter 3 Blockchain Technology: Foundations, Challenges, and Future Prospects Chapter 4 Biologically Plausible Spiking Neural Networks for Blockchain Technology: A Review of Synergies and Challenges Chapter 5 Enhancing Security and Transparency in AI with Blockchain Chapter 6 Enhancing UPI security with AI: An Ensemble-Based Fraud Detection Model Chapter 7 Decentralized Machine Learning: Opportunities and Challenges Chapter 8 Enhancing Supply Chain Sustainability through Blockchain Technology:??????????? A Scholarly Analysis Chapter 9 BASIS-IoT: Blockchain and AI-integrated SDN-based Framework for Smart Irrigation Systems in IoT Environments Chapter 10 Decentralized Identity and AI-Powered Identity Management Chapter 11 IMBM: Integrating Metaverse, Blockchain, and Machine Learning models for effective Disease diagnosis Chapter 12 Modelling Herding and Contagion Effects in Digital Currencies: A Comparative Study of Holt-Winters and Deep Learning Approaches Chapter 13 Privacy-Preserving AI Through Blockchain and Federated Learning Chapter 14 Blockchain Based Intelligent Transportation Management System

Data Science and Security: Proceedings of Idscs 2025, Volume 1 (Paperback)