Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability.
The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xiii 7. About the editors - p. xvii 8. Preface - p. xxi 9. Chapter 1. Impact of Artificial Intelligence on Future Green Communication - p. 1 10. Chapter 2. Knowledge Representation and Reasoning in AI-Based Solutions and IoT Applications - p. 13 11. Chapter 3. Artificial Intelligence, Internet of Things, and Communication Networks - p. 51 12. Chapter 4. AI and IoT Capabilities: Standards, Procedures, Applications, and Protocols - p. 67 13. Chapter 5. Internet of Intelligent Things: Injection of Intelligence into IoT Devices - p. 85 14. Chapter 6. Artificial Intelligence and Machine Learning Applications in Cloud Computing and Internet of Things - p. 103 15. Chapter 7. Knowledge Representation for Causal Calculi on Internet of Things - p. 125 16. Chapter 8. Examining the Internet of Things–Based Elegant Cultivation Technique in Digital Bharat - p. 147 17. Chapter 9. Machine Learning and Internet of Things for Smart Processing - p. 161 18. Chapter 10. Intelligent Smart Home Energy Efficiency Model Using Artificial Intelligence and Internet of Things - p. 183 19. Chapter 11. Adaptive Complex Systems: Digital Twins - p. 211 20. Chapter 12. Artificial Intelligence Powered Healthcare Internet of Things Devices and Their Role - p. 239 21. Chapter 13. IoIT: Integrating Artificial Intelligence With IoT to Solve Pervasive IoT Issues - p. 251 22. Chapter 14. Intelligent Energy-Oriented Home - p. 269 23. Chapter 15. Corporate Cybersecurity Strategy to Enable Artificial Intelligence and Internet of Things - p. 291 24. Chapter 16. Role of Artificial Intelligence and the Internet of Things in Agriculture - p. 317 25. Chapter 17. Integrating Artificial Intelligence/Internet of Things Technologies to Support Medical Devices and Systems - p. 331 26. Chapter 18. Machine Learning for Optical Communication to Solve Pervasive Issues of Internet of Things - p. 351 27. Chapter 19. Impact of Artificial Intelligence to Solve Pervasive Issues of Sensor Networks of Internet of Things - p. 367 28. Chapter 20. Principles and Foundations of Artificial Intelligence and Internet of Things Technology - p. 377 29. Index - p. 393
Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability.
The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xiii 7. About the editors - p. xvii 8. Preface - p. xxi 9. Chapter 1. Impact of Artificial Intelligence on Future Green Communication - p. 1 10. Chapter 2. Knowledge Representation and Reasoning in AI-Based Solutions and IoT Applications - p. 13 11. Chapter 3. Artificial Intelligence, Internet of Things, and Communication Networks - p. 51 12. Chapter 4. AI and IoT Capabilities: Standards, Procedures, Applications, and Protocols - p. 67 13. Chapter 5. Internet of Intelligent Things: Injection of Intelligence into IoT Devices - p. 85 14. Chapter 6. Artificial Intelligence and Machine Learning Applications in Cloud Computing and Internet of Things - p. 103 15. Chapter 7. Knowledge Representation for Causal Calculi on Internet of Things - p. 125 16. Chapter 8. Examining the Internet of Things–Based Elegant Cultivation Technique in Digital Bharat - p. 147 17. Chapter 9. Machine Learning and Internet of Things for Smart Processing - p. 161 18. Chapter 10. Intelligent Smart Home Energy Efficiency Model Using Artificial Intelligence and Internet of Things - p. 183 19. Chapter 11. Adaptive Complex Systems: Digital Twins - p. 211 20. Chapter 12. Artificial Intelligence Powered Healthcare Internet of Things Devices and Their Role - p. 239 21. Chapter 13. IoIT: Integrating Artificial Intelligence With IoT to Solve Pervasive IoT Issues - p. 251 22. Chapter 14. Intelligent Energy-Oriented Home - p. 269 23. Chapter 15. Corporate Cybersecurity Strategy to Enable Artificial Intelligence and Internet of Things - p. 291 24. Chapter 16. Role of Artificial Intelligence and the Internet of Things in Agriculture - p. 317 25. Chapter 17. Integrating Artificial Intelligence/Internet of Things Technologies to Support Medical Devices and Systems - p. 331 26. Chapter 18. Machine Learning for Optical Communication to Solve Pervasive Issues of Internet of Things - p. 351 27. Chapter 19. Impact of Artificial Intelligence to Solve Pervasive Issues of Sensor Networks of Internet of Things - p. 367 28. Chapter 20. Principles and Foundations of Artificial Intelligence and Internet of Things Technology - p. 377 29. Index - p. 393
