http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Edge AI for Industry 5.0 and Healthcare 5.0 Applications
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 of Edge AI for developing solutions for Industry 5.0 and Healthcare 5.0. It explains how Industry 5.0 fine tunes the human-machine connection and leverages tiny, high-performance AI-centric processors in IoT edge devices for real-time decision-making and application processing. Focusing on Explainable AI (XAI), the book discusses: · The role of XAI in Healthcare 5.0 · Best practices, challenges, and opportunities of applying XAI in healthcare setting · How to enhance transparency and trust of XAI in Healthcare 5.0 · XAI and its methods in predicting healthcare outcomes Other highlights of the book include: · 5G communication networks requirements · The fusion of IoT, AI, Edge, Cloud, and blockchain · Trustworthiness of blockchain technology in healthcare 5.0 and Industry 5.0 · The future of trust and the potential of blockchain technology By explaining how Edge AI can transform healthcare and industry, this book empowers researchers and professionals to envisage and implement sophisticated and smart digital solutions.
1 Digital Twins for Smart Grids Pooja Jain, Tapan Kumar, Yaman Birla, and Anshul Mishra2 Delineating the Healthcare 5.0 Nancy Deborah R, Gobinath A, Soundarya M, Manjula Devi C3 Virus Dispersion in Environment: Fuzzy Approach for Infectious Diseases Dilip Kumar Jaiswal and Sudhakar Kumar Chaubey4 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 Vijayakumar5 The Role of Explainable AI for Healthcare 5.0: Best Practices, Challenges, and Opportunities Srija Chattopadhyay, Subhadeep Barman, and Lakshmi D6 Explainable AI for Healthcare 5.0: Enhancing Transparency and Trust Deepa S, Vinay M, Jayaprada J., and Sundaravadivazhagan7 A Complete Analysis of Explainable AI and its Methods for Healthcare Prediction A.Vinora, E.Lloyds, and M.Soundarya8 Artificial Intelligence (AI) Algorithms and Approaches for Edge AI Samar Mouti and Samer Rihawi9 Integrating Fuzzy Clustering into CNN for Improved Brain Tumour Detection B Kannaki Devi, D.Ramyachitra, and T Akalya10 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 Pichai11 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 Bai12 Unleashing Patient Insights: Leveraging Edge AI in Sentiment Analysis for Enhanced Healthcare Experiences Kathiravan Pannerselvam, Saranya Rajiakodi, and Shanmugavadivu Pichai13 Edge AI in LoRa-Based Health Monitoring Manjula Devi C, Sivakarthi G, Srinivasan A, Gobinath A, and Rajeswari P14 IoT Based Smart Health Monitoring with Convulational Neural Network (CNN) Using Edge Computing Rajeswari P, Gobinath A, Suresh Kumar N, and Anandan M15 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-Mahri17 The Fusion of IoT, AI, Edge Cloud, and Blockchain S. Alwyn Rajiv, R. Nancy Deborah, A. Vinora, A. Gobinath, G. Sivakarthi, and M. Soundarya18 Trustworthiness of Blockchain Technology in Healthcare 5.0 and Industry 5.0 Kalaiselvi Thiruvenkadam and Veerakumar Pandi19 The Future of Trust: Exploring the Potential of Blockchain Technology Divyajyothi M G, Rachappa Jopate, and J. Lenin20 Demystifying the Industry 5.0 Version Venkatesan Ramachandran, Feroze Ahamed Zahir Ahamed, Thanga Helina Stalin, and Shirley Chellathuraipon Anna Bai21 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
edited by Pethuru Raj, B. Sundaravadivazhagan, A. Saleem Raja and Mohammed M. Alani.