1. Fundamentals of AI and ML and Their Relevance to Industry
4.0 and
5.0
2. Deep Learning Architectures in Industrial Automation and Robotics
3. Advancements in Computational Intelligence for Enhanced Big Data Analytics in Industry
4.0 and
5.0: Challenges, Advances, and Future Perspectives
4. Integration of AI- and ML-based Algorithms in Cyber-Physical Systems for Predictive Maintenance
5. Applications and Innovations of Edge Computing in Industry
4.0 and
5.0
6. Integration of Deep Learning and Optimization Techniques for Enhanced Efficiency and Decision-Making in Industry
4.0 and
5.0
7. Fuzzy Logic and Expert Systems for Decision Support in Cyber-Physical Production Systems
8. Industry
4.0: A Review on Energy Conservation in MEMS
9. Enabling Technologies for Seamless Human-Machine Interaction in Industry
5.0
10. Face Recognition Access Control System Using Hidden Markov Model
11. Human-Centric Design Principles in Industry
4.0 and
5.0
12. Failure Prediction Using Machine Learning and Deep Learning in Industry
4.0 and
5.0: A Multi-Instance-Based Case Study
13. The Protection of Industry
4.0 and
5.0: Cybersecurity Strategies and Innovations
14. Privacy and Security Challenges of AI Integration in Industry
4.0 and
5.0
15. Optical and Quantum Computing in Industry
4.0 and
5.0
16. Blockchain Technologies in Industry
5.0: A Review of the Applications, Challenges and Future Prospects
17. Industry
5.0: A New Industrial Revolution and Technological Applications