
Edge AI for Industry 5.0 and Healthcare 5.0 Applications
- 344 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Edge AI for Industry 5.0 and Healthcare 5.0 Applications
About this book
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.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Preface
- Editor Biographies
- List of Contributors
- Chapter 1 Digital Twins for Smart Grids
- Chapter 2 Delineating the Healthcare 5.0
- Chapter 3 Virus Dispersion in Environment: Fuzzy Approach for Infectious Diseases
- Chapter 4 Revolutionizing COVID-19 Diagnosis: A Hybrid Quantum Neural Network-Based Framework for Accurate Detection of Lung Abnormalities from CT Scans Using Custom Computer Vision Model and AI Edge Device
- Chapter 5 The Role of Explainable AI for Healthcare 5.0: Best Practices, Challenges, and Opportunities
- Chapter 6 Explainable AI for Healthcare 5.0—Enhancing Transparency and Trust
- Chapter 7 A Complete Analysis of Explainable AI and Its Methods for Healthcare Prediction
- Chapter 8 Artificial Intelligence (AI) Algorithms and Approaches for Edge AI
- Chapter 9 Integrating Fuzzy Clustering into CNN for Improved Brain Tumor Detection
- Chapter 10 Leveraging Edge AI for Real-Time Detection and Prevention of Online Harassment and Cyberbullying: Enhancing Women’s Safety and Mental Health
- Chapter 11 Leveraging Artificial Intelligence and IoT for Healthcare 5.0: Use Cases, Applications, and Challenges
- Chapter 12 Unleashing Patient Insights: Leveraging Edge AI in Sentiment Analysis for Enhanced Healthcare Experiences
- Chapter 13 Edge AI in LoRa-Based Health Monitoring
- Chapter 14 IoT-Based Smart Health Monitoring with Convolutional Neural Network (CNN) Using Edge Computing
- Chapter 15 Enhancing Healthcare Monitoring Through IoT, CNN, and Edge Computing Technologies
- Chapter 16 Delineating the Need of 5G Communication Networks
- Chapter 17 The Fusion of IoT, AI, Edge Cloud, and Blockchain
- Chapter 18 Trustworthiness of Blockchain Technology in Healthcare 5.0 and Industry 5.0
- Chapter 19 The Future of Trust: Exploring the Potential of Blockchain Technology
- Chapter 20 Demystifying the Industry 5.0 Version
- Chapter 21 Edge AI for Connected Healthcare in Internet of Medical Things for Smart Cities
- Index