1st Edition

Edge AI for Industry 5.0 and Healthcare 5.0 Applications

344 Pages 68 B/W Illustrations
by Auerbach Publications

344 Pages 68 B/W Illustrations
by Auerbach Publications

344 Pages 68 B/W Illustrations
by Auerbach Publications

Edge AI is the seamless and spontaneous combination of Edge or Fog computing and AI. It enables acquiring real-time insights, which, in turn, leads to the realization of real-time, people-centric, event-driven, business-critical, process-aware, and knowledge-filled software services and applications. Edge AI for Industry 5.0 and Healthcare 5.0 Applications looks at the unique contributions... Read more

1 Digital Twins for Smart Grids
Pooja Jain, Tapan Kumar, Yaman Birla, and Anshul Mishra

2 Delineating the Healthcare 5.0
Nancy Deborah R, Gobinath A, Soundarya M, Manjula Devi C

3 Virus Dispersion in Environment: Fuzzy Approach for Infectious Diseases
Dilip Kumar Jaiswal and Sudhakar Kumar Chaubey

4 Revolutionizing COVID-19 Diagnosis: A Hybrid Quantum Neural Network-based Framework for Accurate Detection of Lung Abnormalities from CT Scans using a Custom Computer Vision Model and AI Edge Device
Senthilkumar Vijayakumar

5 The Role of Explainable AI for Healthcare 5.0: Best Practices, Challenges, and Opportunities
 Srija Chattopadhyay, Subhadeep Barman, and Lakshmi D

6 Explainable AI for Healthcare 5.0: Enhancing Transparency and Trust
Deepa S, Vinay M, Jayaprada J., and Sundaravadivazhagan

7 A Complete Analysis of Explainable AI and its Methods for Healthcare Prediction
A.Vinora, E.Lloyds, and M.Soundarya

8 Artificial Intelligence (AI) Algorithms and Approaches for Edge AI
Samar Mouti and Samer Rihawi

9 Integrating Fuzzy Clustering into CNN for Improved Brain Tumour Detection
B Kannaki Devi, D.Ramyachitra, and T Akalya

10 Leveraging Edge AI for Real-Time Detection and Prevention of Online Harassment and Cyberbullying: Enhancing Women's Safety and Mental Health
Kathiravan Pannerselvam, Saranya Rajiakodi, and Shanmugavadivu Pichai

11 Leveraging Artificial Intelligence and IoT for Health Care 5.0: Use Cases, Applications, and Challenges
Gnanasankaran Natarajan, Elakkiya Elango, Sandhya Soman, and Shirley Chellathurai Pon Anna Bai

12 Unleashing Patient Insights: Leveraging Edge AI in Sentiment Analysis for Enhanced Healthcare Experiences
Kathiravan Pannerselvam, Saranya Rajiakodi, and Shanmugavadivu Pichai

13 Edge AI in LoRa-Based Health Monitoring
Manjula Devi C, Sivakarthi G, Srinivasan A, Gobinath A, and Rajeswari P

14 IoT Based Smart Health Monitoring with Convulational Neural Network (CNN) Using Edge Computing
Rajeswari P, Gobinath A, Suresh Kumar N, and Anandan M

15 Enhancing Healthcare Monitoring through IoT, CNN, and Edge Computing Technologies
Feroz Khan A. B.

16 Delineating the Need of 5G Communication Networks
Sk Wasim Haidar, Sudhakar Kumar Chaubey, and Mohammed Bakhit Al-Mahri

17 The Fusion of IoT, AI, Edge Cloud, and Blockchain
S. Alwyn Rajiv, R. Nancy Deborah, A. Vinora, A. Gobinath, G. Sivakarthi, and M. Soundarya

18 Trustworthiness of Blockchain Technology in Healthcare 5.0 and Industry 5.0
Kalaiselvi Thiruvenkadam and Veerakumar Pandi

19 The Future of Trust: Exploring the Potential of Blockchain Technology
Divyajyothi M G, Rachappa Jopate, and J. Lenin

20 Demystifying the Industry 5.0 Version
Venkatesan Ramachandran, Feroze Ahamed Zahir Ahamed, Thanga Helina Stalin, and Shirley Chellathuraipon Anna Bai

21 Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
Mohamed Sirajudeen Mohamed Hanifa, Karima Salim Hashil Alnaamani, Gnanasankaran Natarajan, and Elakkiya Elango

Biography

Pethuru Raj is a chief architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously. worked in IBM global Cloud centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). He has more than 22 years of IT industry experience and 8 years of research experience.

B. Sundaravadivazhagan obtained PhD in computer science from Anna University, Chennai India. Currently, he is a faculty member of the Department of Information Technology at the University of Technology and Applied Science-AL Mussanah in Oman He has professional memberships in ISACA and ISTE and is a senior member of IEEE. His academic and research background spans more than 21 years at many institutions.

Saleem Raja is an associate professor in the department of information technology at the Shinas University of Technology and Applied Sciences in the Sultanate of Oman. He obtained a Ph.D. in 2017 in the general field of data mining as well as my M.Tech. in information technology from Bharathidasan University in Tamil Nadu, India. He has published more than 25 research papers published in national and international journals, conferences, and book chapters.

Mohammed M. Alani holds a PhD in Computer Engineering with specialization in network security. He has worked as a professor, and a cybersecurity expert in many countries around the world. His experience includes serving as VP of Academic Affairs in the United Arab Emirates, network and security consultancies in the Middle East, and Cybersecurity Program Manager in Toronto Canada. He currently works as a Cybersecurity Professor at Seneca College, and a Research Fellow at Toronto Metropolitan University, Toronto, Canada.