Optimizing Edge and Fog Computing Applications with AI and Metaheuristic Algorithms (Hardcover, 1)

1. Introduction to Resource Optimization in Fog and Edge Computing 2. Deep Reinforcement Learning-Based Task Scheduling in Edge Computing 3. Supervised Machine Learning for Load Balancing in Fog Environments 4. Blockchain-Based Secure Data Sharing System in Fog-Edge System 5. Securing IoT System Using ML Models 6. Federated Machine Learning Algorithm Aggregation Strategy for Collaborative Predictive Maintenance 7. Advance Machine Learning Algorithm Aggregation Strategy for Decentralized Collaborative Models 8. Artificial Intelligence and Machine Learning based Predictive Maintenance in Fog and Edge Computing Environment 9. Deep Reinforcement Learning-Based Task Scheduling in Edge Computing 10. Secure, Adaptable, and Collaborative AI: Federated Machine Learning Enhanced with Meta-Learning and Differential Privacy 11. EP-MPCHS: Edge Server-based Cloudlet Offloading Using Multi-Core and Parallel Heap Structures