Preface.1. An Introduction to Blockchain Technology - Methods and Applications. 2. Blockchain Technology for the Modern Era. 3. Blockchain Technology in Smart Cities: Current Status and Future Directions. 4.

Spam Detection Using Fuzzy Machine Learning Techniques. 5. A Chaotic Map-Based Authentication and Key Agreement Scheme for Cloud Environments. 6. AI-Blockchain-IoT-Cloud Computing-Digital Twin: The Perfect Solutions for Next Generation Problems. 7. Bitcoin-based Blockchain. 8.

Ethereum Based Blockchain and Other Popular Cryptocurrency. 9. Alternative Blockchains. 10. Blockchain Technology and Digital Twin in Logistics and Supply Chain Management. 11. Palm Leaf Digitization: A Multi-modal Deep Learning Model for Character Reconstruction and Decentralized Federated Learning with Blockchain. 12.

Q-BALAK: Quantum Blockchain-based Affordable, and Lightweight Encryption Mechanism for Agriculture. 13. Investigating the Consequences of Integrating Blockchain and Artificial Intelligence. 14. Management of Electronic Health Records of Patients Using Blockchain Technology. 15. Blockchain-Based Efficient Drone Authentication Scheme for Security Enhancement in Smart Cities. 16.

Blockchain as The Future for Industry 5.0: Theories, Algorithms, and Possible Outcomes. 17. Blockchain for Next Generation Computing: Challenges, Opportunities and Emerging Trends for Modern Generation. 18. Blockchain Technology in Smart Cities: Current Status and Future Directions. 19. Intelligent Data Mining: The Role of Machine Learning and Deep Learning in Extracting Insights from Big Data.

20. Machine Learning and Deep Learning: Necessary Techniques for Extracting Meaningful Information in Large Databases. 21. Blockchain Based Smart, Secured Services for Modern Society: Applications, Challenges and Future Directions. 22. Machine Learning: A View from a Learning Perspective. 23. Top Algorithms in Machine Learning for Predicting Insights in Smart Applications.

Index.