Transforming Industries

Capturing the Potential of IIoT and ML in the Era of Industry 5.0
Herausgeber: Kalra, Ashima; Kumar, Ravinder; Rani, Sita

• Gebundenes Buch

Produktbeschreibung

The rapid convergence of the Industrial Internet of Things (IIoT) and Machine Learning (ML) is propelling us into a new era known as Industry 5.0. This book serves as a comprehensive resource that offers a complete understanding of these transformative technologies and their practical applications acrosss various industrial sectors.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 350
• Erscheinungstermin: 28. Oktober 2025
• Englisch
• Abmessung: 260mm x 183mm x 23mm
• Gewicht: 854g
• ISBN-13: 9781032884479
• ISBN-10: 1032884479
• Artikelnr.: 74064976

Autorenporträt

Ashima Kalra is a distinguished academic and researcher currently serving as an Associate Professor in the Electronics & Communication Engineering Department at Chandigarh Engineering College (CGC-CGC), Landran, India with over 21 years of teaching experience at both undergraduate and postgraduate levels. Her research interests encompass artificial intelligence, neural networks, fuzzy systems, and machine learning. Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Her research interests include Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, Healthcare, and Sustainable Development. Ravinder Kumar is a distinguished educator and researcher in Computer Science and Engineering, with over 20 years of excellence in teaching and research. He is currently an Associate Professor at the Thapar Institute of Engineering and Technology (TIET), where he has made significant contributions to academia and research. His research interests span algorithms, combinatorial optimization, and machine learning, bridging theoretical advancements with real-world applications. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates, and an Adjunct Professor at School of Technology, Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems.

Inhaltsangabe

1. Unlocking Industry 5.0: The Role of IIoT and Machine Learning. 2.
Fundamentals of Industrial Internet of Things (IIoT). 3. A Conceptual Study
on the Industrial Revolution (IR) from 1.0 to 5.0. 4. Potential
Technologies and Applications of Industry 5.0. 5. Streamlining Operations:
The AI Era Production Management. 6. The Impact of Technological
Advancement on Society and the Workforce. 7. Optimizing Manufacturing
Process Performance Using Contemporary Technologies. 8. Transforming
Industry 4.0: The Synergy of IIoT and Machine Learning for Enhanced
Production Efficiency. 9. Predictive Maintenance and Asset Management with
IIoT and ML. 10. Ensuring Security and Privacy in Internet of Things
Deployments for Industry, Training, and Residential Environments: A
Comprehensive Investigation. 11. Statistical Analysis of Industrial
Activities Using Machine Learning Techniques. 12. HRM 5.0: Transforming
Human Capital Management in the Era of Industry 5.0. 13. Autonomous
Robotics and Intelligent Automation in Industry 5.0. 14. An Autonomous
Mobile Robot Simulation using Navigation (NAV-2) and Simultaneous
Localization and Mapping (SLAM) in ROS2. 15. Integrating IIoT and Machine
Learning for Enhanced Smart City Development and Urban Infrastructure. 16.
IIOT and ML in Smart Cities and Urban Infrastructure. 17. Securing the
Future of Industry: A Detailed Analysis of IIoT Cybersecurity Challenges
and Solutions. 18. Cybersecurity and Data Privacy Considerations for IIoT.
19. Integrating Industry 5.0 Principles with Machine Learning and the
Internet of Things for Biotech Advancements. 20. Implementation of
Artificial Neural Networks and Machine Learning Algorithms Using Feature
Selection to Predict User Capacity in LTE Networks. 21. Enhancing Quality
Control in Industry 4.0: Leveraging Deep Learning and Machine Vision for
Defect Detection and Process Optimization. 22. Exploring the Intersection
of Machine Learning and Wireless Communications in the Internet of Things:
An Extensive Overview. 23. Leveraging Blockchain and Industrial Internet of
Things (IIoT) Integration to Enhance Cybersecurity and Data Security in
Industrial Environments. 24. An Investigative Study of Recent Advancements
in Augmented Reality for Industrial Internet of Things (IIoT) Applications.
25. RFID Integrated with Human Interface System for Autonomous Shopping
Tram with Integrated Bill Generator. 26. Vocalizing Retail Innovation: A
Qualitative Investigation into the adoption of IOT-Enabled Voice Assistants
in Indian Retail. 27. The Autonomous Fermenter: Redefining Microbial
Production with Intelligent Automation. 28. Environmental Gas Monitoring
using Energy Efficient LoRa based IoT Setup Products.