Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 (eBook, PDF)

Redaktion: Awotunde, Joseph Bamidele; Brahma, Biswajit; Muduli, Kamalakanta

• Format: PDF

Produktbeschreibung

The book explores the intersection of cutting-edge technologies and industrial trends. Researching Artificial Intelligence, machine learning, and data analytics, it examines the transformative potential of computational intelligence in shaping the future of manufacturing and services.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 484
• Erscheinungstermin: 17. Juni 2025
• Englisch
• ISBN-13: 9781040348093
• Artikelnr.: 73979278

Autorenporträt

Joseph Bamidele Awotunde is a Lecturer II at the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, 30 chapters in books, and more than 25 conference proceedings. Kamalakanta Muduli is an Associate Professor in Papua New Guinea University of Technology. Biswajit Brahma is a Senior Data Engineer at McKesson, USA.

Inhaltsangabe

1. Fundamentals of AI, 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