Computational Intelligence in Industry 4.0 and 5.0 Applications (eBook, PDF)

Trends, Challenges and Applications
Redaktion: Awotunde, Joseph Bamidele; Brahma, Biswajit; Muduli, Kamalakanta

• Format: PDF

Produktbeschreibung

The book examines leading Industry 4.0 and 5.0 and Industrial Internet of Things technologies enhanced with computational intelligence (CI) techniques. The book covers modelling, controls, estimations, applications, and systems. It considers this multi-disciplinary domain that is based on data collected from smart sensors.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 423
• Erscheinungstermin: 6. Februar 2025
• Englisch
• ISBN-13: 9781040275399
• Artikelnr.: 72523999

Autorenporträt

Joseph Bamidele Awotunde is a Lecturer with the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He has to his credit over 200 publications in reputable outlets such as Elsevier, Springer, Hindawi, and Taylor & Francis, among others, covering journals, edited conference proceedings, and chapters in books. He is also the editor of four books. Kamalakanta Muduli is an Associate Professor and Head of the School of Mechanical Engineering at Papua New Guinea University of Technology. Biswajit Brahma is a Senior Data and Visualization Engineer at McKesson, USA. His expertise is demonstrated by more than 50 publications in prestigious SCI/Scopus journals, showcasing his dedication to advancing knowledge in the fields of AI/ML and deep learning.

Inhaltsangabe

1. Industry 4.0: Challenges and Issues Encountered in Manufacturing and
Testing of MEMS Devices. 2. The Industrial Internet of Things (IIoT):
Overview, Architecture, Challenges, and Possible Solutions. 3. Artificial
Intelligence in Industry 5.0: Transforming Manufacturing through Machine
Learning and Robotics in Collaborative Age. 4. Computational Intelligence
in the Industrial Internet of Things. 5. Security, Privacy, Trust, and
Other Issues in Industries 4.0 and 5.0. 6. Fine-Tuning for a Deep Learning
Model in Optimizing Ransomware Attack Detection in the Industry 4.0 and 5.0
Era. 7. Blockchain in Industry 4.0 and Industry 5.0: A Paradigm Shift
towards Decentralized Efficiency and Autonomous Ecosystems. 8. Integration
of Digital of Twins in Industries 4.0 and 5.0. 9. Computational
Intelligence in Big Data Analytics. 10. The Role of Augmented Reality,
Virtual Reality, and Mixed Reality in Industries 4.0 and 5.0. 11. Industry
4.0 Design Principles, Technologies, and Applications. 12. Industry 4.0 and
Computational Intelligence for Fighting COVID-19: A Case Study.