Genetic Algorithms in Practice: Methods and Applications (Hardcover)

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

Sustainable Farming through Machine Learning : Enhancing Productivity and Efficiency (Paperback)

1. Exploring AI and ML Strategies for Crop Health Monitoring and Management. 2. Enhancing Crop Productivity by Suitable Crop Prediction Using Cutting-Edge Technologies. 3. Crop Yield Prediction Using Machine Learning Random Forest Algorithm. 4. A multi-objective based genetic approach for increasing crop yield on sustainable farming. 5. Drones For Crop Monitoring And Analysis. 6. Decision Support System For Sustainable Farming. 7.?Empowering Agriculture: Harnessing the Potential of AI-Driven Virtual Tutors for Farmer Education and Investment Strategies. 8.?Enhancing Agricultural Ecosystem Surveillance through Autonomous Sensor Networks. 9.?Crop Disease Detection Using Image Analysis. 10.?Automated Detection of Plant Diseases Utilizing Convolutional Neural Networks. 11.?Apple Leaves Diseases Detection Using Deep Learning. 12.Optimizing Agricultural Yield: Comprehensive Approaches for Recommendation System in Precision Agriculture. 13.?Advancements in Precision Agriculture: A Machine Learning-based Approach for Crop Management Optimization. 14.?Precision Agriculture with Remote Sensing: Integrating Deep Learning for Crop Monitoring. 15.?Farmers Guide: Data-Driven Crop Recommendations for Precision and Sustainable Agriculture Using IoT and ML. 16.?Application of Machine Learning in the Analysis and Prediction of Animal Disease. 17. Transforming Indian Agriculture: A Machine Learning Approach for Informed Decision-Making and Sustainable Crop Recommendations. 18.?Automated Detection of Water Quality for Smart Systems using Various Sampling Techniques - An Agricultural Perspective. 19.?Scope of Artificial Intelligence (A.I.) in “Agriculture Sector and its applicability in Farm Mechanization in Odisha. 20.?Ethical Considerations and Social Implications.? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ??

AI in Agriculture for Sustainable and Economic Management (Paperback, 1)

1. Artificial Intelligence: Towards sustainable, smart, and green agriculture.? 2. Artificial Intelligence in Achieving Sustainable Development Goals: Models and Approaches.? 3. Smart Solutions for a Sustainable Future: Unlocking the Potential of AI for a Sustainable Future in Architecture, Energy, and Agriculture.? 4. AI for Optimization of Farming Resources and their Management.? 5. Democratising Intelligent Farming Solutions to Develop Sustainable Agricultural Practices.? 6. AI- driven approach for Precision Agriculture.? 7. Precision Agriculture and AI: Nurturing Sustainable Food Ecosystems.? 8. Agriculture and AI: A Subtle Conjunction of Predictive Analysis and Voice Assistant in the World of Agriculture.? 9. Machine Learning and IoT in Smart Agriculture.? 10. Empowering Agriculture: IoT for Sustainable Farming Practices.? 11. An Analysis Efficient Cloud Based Scheduling Infrastructure: Driving the Shift of Artificial Intelligence in Farming.? 12. Animal Intrusion Detection System using Semantic Segmentation and YOLO V4 Object Detector.? 13. Smart Farming for Sustainable Development ?
A Study at Sonepur District of Odisha.? 14. Analytical Approaches to Sustainable Farming Systems.? 15. Is Ethiopia Coffee Cooperatives Farmers Proficient to Predict Capital Structure with Mediation of AI Based Knowledge Systems and Asset Liquidity?.? 16. Is Marketing Intermediaries’ Mediation required for Livestock and Products Marketing to uplift the Economic Status of Pastoralist Community in Ethiopia?.??

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)

Web Engineering: 26th International Conference, Icwe 2026, Lyon, France, June 9-12, 2026, Proceedings (Paperback)

Graph Transformation: 19th International Conference, Icgt 2026, Held as Part of Staf 2026, Rennes, France, June 29-July 3, 2026, Proceedings (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

Proceedings of 5th International Conference on ICT for Digital, Smart, and Sustainable Development: Icidssd 2025 (Hardcover)

Recursion : Mathematics and Python (Hardcover)

1.?Concept about Recursion? 2.?Recursive Programs? 3.?Sudoku? 4.?Find the Exit of a Maze? 5.?Go Game? 6.?Binary Trees? 7.?Huffman Compression? 8.?Conclusion

Explainable Artificial Intelligence and Interpretable Machine Learning in Education : A Researcher’s Guide to Data Science (Hardcover)

Preface. PART I: INTRODUCTION. 1. Explaining Explainability in Education Integrating Data Science, Interpretation, and Human Understanding. PART II: CONCEPTUAL AND HUMAN-CENTERED FOUNDATIONS OF EXPLAINABLE AI IN EDUCATION. 2. C-XplainEd: A Conceptual Framework for Trustworthy XAI Educational Applications. 3. The Relation between Fairness and Explainability in Predictive Modeling of Student Performance: A Study on the OULAD. 4. Human-Centered Explainable AI in Education: Opportunities and Challenges of Large Language Models. 5. When the Model Won’t Explain Itself: EPICC as a Framework for Human-Centered Explainability in Educational AI Use. 6. Human-Centred Approaches for Non-Expert Users in Explainable AI. 7. Evaluating Explainability in Educational AI: A Dual-Perspective Framework with Case Application. PART III: APPLIED AND COMPUTATIONAL INNOVATIONS IN EDUCATIONAL XAI. 8. A Framework for Explainable AI in Automated Grading Systems in Engineering Education. 9. Explaining Grit: Leveraging XAI on Sentiment Analysis of Student-Generated Text. 10. From Local Explanations to Collective Explanations: An XAI Approach Using LIME and Clustering in Education. 11. Beyond the Black Box:? XAI Techniques to Interpret Complex Machine Learning Models. 12. A Knowledge-based Neural Network to Interpret Mars Habitat Building Assessment in Minecraft.

Steiner Type Packing Problems in Digraphs (Paperback)