Intelligent Manufacturing and Industry 4.0 : Impact, Trends, and Opportunities (Hardcover)

1. Intelligent Manufacturing: Components, Challenges, and Opportunities. 2. Amalgamation of Disruptive Technologies for Implementation of Intelligent Manufacturing. 3. Architectural Designs and Implementations in Intelligent Manufacturing. 4. Digital Twin Technology for Intelligent Manufacturing. 5. Deep Learning-Based Algorithms for System Monitoring in Intelligent Manufacturing. 6. Intelligent Load Migration Using Federated Learning in Intelligent Manufacturing. 7. Data Collection and Knowledge Management in Intelligent Manufacturing. 8. Challenges and Issues in Securing Intelligent Manufacturing Systems. 9. Multi-Factor Authentication Methods for Intelligent Manufacturing. 10. Zero Fault Tolerance Intelligent Systems and Designs for Intelligent Manufacturing. 11. Light-Weight Algorithms for Enhanced Privacy and Encryption Techniques for IoT-Based Intelligent Manufacturing. 12. Implementation of Intelligent Manufacturing Using Cyber-Physical Systems (CPS). 13. Use Cases of Intelligent Manufacturing. 14. Case Studies of Next-Generation AI for Intelligent Manufacturing.