About the Book
Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues.
Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.
Table of Contents:
1. Introduction to Recent Computing Paradigms
2. Supervised Machine Learning Techniques to Protect IoT Healthcare Environment against Cyber attacks
3. Design of A Novel Privacy Preservation Based Cyber Security System (PPCSS) Framework For Secure Medical Data Transactions In Cloud Storage
4. IOT based BIM Integrated Model for Natural Lighting Energy Management in Smart Homes
5. Privacy Preserving and Data sharing in Medical Cyber Physical System using Fog Computing
6. Secure Medical Image Storage and Retrieval for Internet of Medical Imaging Things Using Blockchain-Enabled Edge Computing
7. Lane Detection and Path Prediction in Autonomous Vehicle using Deep Learning
8. Intelligent Auto Pilot Fire Extinguishing Robot
9. Applicability of Edge Computing Paradigm for Covid-19 Mitigation
10. Design and Implementation of UWB based Cyber Physical System for Indoor Localization in Industries Environment
11. An Application of Intelligent Edge Computing and Machine Learning Algorithms in MBTI Personality Prediction
12. Techniques Applied to Increase Soil Fertility in smart Agriculture
About the Author :
Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the “Research Scientist of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain.
Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. Prof. Brij B. Gupta is working as Director of the International Center for AI and Cyber Security Research and Innovations (CCRI), and Distinguished Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. In more than 20 years of professional experience, he has published over 600 papers in reputed journals and conferences, authored/edited 35 books, and holds 12 patents. His work has received over 35,000 citations to date. He has been the recipient of numerous prestigious national and international awards, including the Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017) from MeitY, Government of India, IEEE GCCE Outstanding Paper Award, IEEE WIE Best Paper Award, and Best Faculty Awards (2018 & 2019). Prof. Gupta has been recognized in Clarivate Web of Science's Highly Cited Researchers list in Computer Science (top 0.1% globally) in both 2022 and 2023. He has also been included in Stanford University's global ranking of the top 2% scientists for five consecutive years (2020–2024). He is a Senior Member of IEEE since 2017 and was selected as an IEEE CTSoc Distinguished Lecturer in 2021. He served as Member-in-Large on the Board of Governors for the IEEE Consumer Technology Society (2022–2024). He leads several journals as Editor-in-Chief, including IJSWIS, IJSSCI, and IJCAC, and serves as the lead editor for book series with CRC Press and IET Press. His research interests span information security, cyber-physical systems, cloud computing, blockchain, intrusion detection, artificial intelligence, social media, and network security. Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems. Prof. Dr. Swati V. Shinde is a professor in Pimpri Chinchwad College of Engineering (PCCoE), Pune, In India.
She has published over 75 research papers in several reputed conferences and journals, two of which are published in the prestigious SCI indexed Science Q1 Elsevier journals. Dr. Shinde is recipient of four Best Paper Awards in different IEEE Conferences, and has filed four research patents. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network and Fuzzy Logic.
