Industry 5.0

Dr. Indranil Sarkar currently serving as a Postdoctoral Fellow at the University of Oslo, Norway, brings five years of rich research experience to the table. He earned his PhD from NIT Raipur, India, and has since delved into various facets of technology, contributing significantly to national and international journals and conferences. His expertise lies in the realms of IoT, Fog/Edge Computing, 6G, Machine Learning, and the evolving paradigms of Industry 4.0 and 5.0.Dr. Abhishek Hazra an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Information Technology Sricity, has established himself as a seasoned researcher. With a background that spans prestigious institutions like IIT(ISM) Dhanbad and NIT Manipur, he has also honed his skills at the Communications and Networks Lab, National University of Singapore. As an Editor/Guest Editor for esteemed publications like FGCS, Physical Communication, and Computer Communications, Dr. Hazra's expertise traverses IoT, Fog/Edge Computing, 6G, Machine Learning, and the dynamic landscape of Industry 4.0 and 5.0.Dr. Poonam Maurya, currently serving as a Postdoc Fellow at the Department of Electronic Systems, Aalborg University, has showcased her prowess in the domain of technology. Having submitted her PhD thesis at Indian Institute of Technology Bhilai, Dr. Maurya's academic journey has been marked by excellence. She completed her bachelor’s degree in Electronics and Communication Engineering from National Institute of Technology Hamirpur, India. Her research interests are centered around Internet of Things communication protocol, LoRaWAN, Wireless Sensor Network, and Machine Learning, reflecting a deep understanding of cutting-edge technologies shaping Industry 5.0.

• Chapter 1 Edge, Fog, and Cloud Computing in Industry 5.0.- Chapter 2 Communication Technologies for Industry 5.0.- Chapter 3 THE TRANSITION FROM INDUSTRY 4.0 TO INDUSTRY 5.0.- Chapter 4  A Lossless Healthcare Data Compression approach using Near-edge Computing.- Chapter 5 Data Analytics in Industry 5.0: Transforming Processes with Insights.- Chapter 6 Cloud Computing for Industry 5.0.- Chapter 7 Quantum Machine Learning for Industry 5.0.- Chapter 8 Industry 5.0 Revolutionizing Resource Management: Opportunities and Challenges.- Chapter 9 Enhancing Data Management in Industry 5.0: The Role of Digital Twins in Optimizing Industrial Operations.- Chapter 10 Navigating Cybersecurity in Industry 5.0: From Risks to Solutions.- Chapter 11 Industry 5.0 network Management.- Chapter 12 Interwoven Threads: AI's Role in the Fabric of Smart Healthcare.- Chapter 13 Healthcare 5.0: Enabling Technologies and Potential Use Cases.- Chapter 14 Revolutionizing Healthcare Security: Blockchain's Role in Industry 5.0.- Chapter 15 Predictive Maintenance in Industry 5.0: A Comparative Study of Various Deep Learning Models for Remaining Useful Life Prediction of Turbofan Engines.- Chapter 16 Tubular Channel Triple Material Gate-Wrap-Around MOSFET for Industry 5.0-Low Power and High Performance Applications Incorporating Temperature Variations.- Chapter 17 Optimizing service selection in Internet of Things: Strategies and Approaches.- Chapter 18 Privacy preserving and anti-spoofing based robust remote authentication scheme (PAS).- Chapter  19 Machine Learning Techniques for Industrial Internet of Things: A Survey.- Chapter 20 An Innovative Botnet Revelation Framework for Competing Concerns in IoT (BRF-CCIoT).- Chapter 21 Near-Edge computing for industry 5.0.