Table of Contents:
  • Preface
  • Chapter 1. Fundamentals of AI, Quantum Computing, and Semiconductor Technology
  • Chapter 2. Integration of AI and Quantum Computing in Cyber Security
  • Chapter 3. Quantum Machine Learning, Leveraging AI, and Semiconductor Technology
  • Chapter 4. Quantum-Inspired Algorithms for AI and Machine Learning
  • Chapter 5. Semiconductor Innovations in Quantum Computing
  • Chapter 6. Semiconductor Technologies for Quantum Computing Hardware
  • Chapter 7. Unraveling the Quantum Computing Frontier: Advancements, Challenges, and Future Prospects
  • Chapter 8. Applications of Quantum Artificial Intelligence: A Systematic Review
  • Chapter 9. Challenges and Future Prospects of Integrating Quantum Computing Into Intelligent Transportation Systems: Exploring Quantum Innovations in Transportation
  • Chapter 10. Collaborative Approaches to Navigating Complex Challenges and Adapting to a Dynamically Changing World
  • Chapter 11. Efficient Energy Management Using Fog-Based Framework in the Healthcare Industry
  • Chapter 12. Pre-Quantum to Post-Quantum Cryptography Transition: A Journey Connecting the Security and Challenges Eras
  • Chapter 13. Evolving Cybersecurity Perspectives With AI and Quantum Advances
  • Chapter 14. Integration of AI and Quantum Computing in Cybersecurity: A Comprehensive Review
  • Chapter 15. Intelligent Systems in Healthcare Monitoring
  • Chapter 16. Fundamentals of Semiconductor and Future Aspects
  • Chapter 17. Preserving Nature's Balance in the Intelligent Systems Era: Exploring Ecological Systems and Biodiversity
  • Chapter 18. Smart Healthcare Innovations Using Intelligent Systems in Industry 4.0
  • Chapter 19. Potential of AI, Quantum Computing, and Semiconductor Technology Adoption in Future Industries: Scope, Challenges, and Opportunities
  • Chapter 20. Optimizing Urban Intelligence: A Comprehensive Study on IoT With Edge Computing in Smart Cities
  • Compilation of References
  • About the Contributors
  • Index.