PART I: Introduction and foundations of digital twins 1. Introduction 2. Modeling artificial intelligence integration in digital twins: a systematic survey 3. Autonomous digital twins: foundations, challenges, and future directions PART II: AI integration in digital twins 4. System engineering and artificial intelligence integration principles of digital-twins for tactical edge environments 5. Artificial intelligence-augmented digital twins: a comparative study of machine learning and large language model integration in smart systems 6. Enhancing Internet of Things security through artificial intelligence and digital twins 7. Digital twins for artificial intelligencebased simulation of upcoming payment trends 8.
Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management 9. Towards intelligent immersive systems: the convergence of digital twins, extended reality, and artificial intelligence 10. Cloud-native digital twins for enhanced autonomous vehicle safety PART III: Software and systems engineering 11. Enhancing automation and manufacturing with digital twin systems 12. Exploring the concept and use of organizational digital twin 13. Data clumps as structural indicators in digital twin software: a static analysis perspective 14. Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control 15. DevOps for and by digital twins leveraging virtual replicas in continuous software engineering PART IV: Application domains 16.
Digital twin underwater game engine environment for generating deep learning fish detection datasets 17. Toward digital twins in the petroleum industry: opportunities and challenges 18. The digital twin revolution: optimizing healthcare built environments for safety, efficiency, and resiliency 19. Reducing errors in disaster management data with digital-twin architecture 20. Digital twins for disaster management: mitigating structural obstacles in the response pipeline 21. Digital twin-based reference architecture for smart greenhouses.