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Full Description
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.
Contents
1 Digital Twins for Smart Grids 2 Delineating the Healthcare 5.0 3 Virus Dispersion in Environment: Fuzzy Approach for Infectious Diseases 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 5 The Role of Explainable AI for Healthcare 5.0: Best Practices, Challenges, and Opportunities 6 Explainable AI for Healthcare 5.0: Enhancing Transparency and Trust 7 A Complete Analysis of Explainable AI and its methods for Healthcare Prediction 8 Artificial Intelligence (AI) Algorithms and Approaches for Edge AI 9 Integrating Fuzzy Clustering into CNN for Improved Brain Tumour Detection 10 Leveraging Edge AI for Real-Time Detection and Prevention of Online Harassment and Cyberbullying: Enhancing Women's Safety and Mental Health 11 Leveraging Artificial Intelligence and IoT for Health Care 5.0: Use Cases, Applications, and Challenges 12 Unleashing Patient Insights: Leveraging Edge AI in Sentiment Analysis for Enhanced Healthcare Experiences 13 Edge AI in LoRa-Based Health Monitoring 14 IoT Based Smart Health Monitoring with Convulational Neural Network (CNN) Using Edge Computing 15 Enhancing Healthcare Monitoring through IoT, CNN, and Edge Computing Technologies 16 Delineating the Need of 5G Communication Networks 17 The Fusion of IoT, AI, Edge Cloud, and Blockchain 18 Trustworthiness of Blockchain Technology in Healthcare 5.0 and Industry 5.0 19 The Future of Trust: Exploring the Potential of Blockchain Technology 20 Demystifying the Industry 5.0 Version 21 Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
