- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
Digital Twins: Core Principles and AI Integration offers a structured and up-to-date overview of digital twin technology, combining foundational principles with the rapidly growing role of artificial intelligence (AI). This book introduces the core concepts, modeling approaches, and software and systems engineering foundations needed to design and implement digital twins effectively. It then explores architectural methods, lifecycle management, interoperability, and the alignment between physical systems and their digital representations. A central part of this book focuses on data science and AI-enabled digital twins, demonstrating how machine learning, deep learning, generative AI, and autonomous agents enhance predictive analytics, optimization, anomaly detection, and automated decision-making. Integration with Internet of Things (IoT), cloud-edge infrastructures, big data analytics, and XR technologies further shows how intelligent digital twins evolve into adaptive and interactive systems. Real-world applications from manufacturing, agriculture, food systems, energy, mobility, healthcare, and urban environments illustrate the practical value of AI-driven digital twins. This book concludes with key challenges and future directions, including trustworthy AI, security, data governance, and the scaling of digital twin ecosystems.
Contents
PART I: Introduction and foundations of digital twins
1. Introduction - Bedir Tekinerdogan and Cor Verdouw
2. Modeling artificial intelligence integration in digital twins: a systematic survey - Bedir Tekinerdogan and Cor Verdouw
3. Autonomous digital twins: foundations, challenges, and future directions - Wallace Manzano, Valdemar V. Graciano Neto, Bedir Tekinerdogan and Elisa Y. Nakagawa
PART II: AI integration in digital twins
4. System engineering and artificial intelligence integration principles of digital-twins for tactical edge environments - Muhammad A. Chauhan, Iqbal Gondal, Muhammad A. Babar and Haifeng Shen
5. Artificial intelligence-augmented digital twins: a comparative study of machine learning and large language model integration in smart systems - Yara Ayman Abouelenin and Manar Jammal
6. Enhancing Internet of Things security through artificial intelligence and digital twins - Adela N. Videsjorden, Arda Goknil, Ashish Rauniyar, Erik J. Husom, Rustem Dautov, Leonard Tudorache and Ivan Kurtev
7. Digital twins for artificial intelligencebased simulation of upcoming payment trends - Andreas Speck, Thomas Stuht and Melanie Roering
8. Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management - Hikmet Can Doğancı and Ebru Gökalp
9. Towards intelligent immersive systems: the convergence of digital twins, extended reality, and artificial intelligence - Seyedehfaezeh M. Parsa, Bedir Tekinerdogan, William Hurst and Majid Zare-Bidaki
10. Cloud-native digital twins for enhanced autonomous vehicle safety - George Daoud, Zubair Islam, Mohammad Yasser Zaki, Mohamed El-Darieby and Reza R. Far
PART III: Software and systems engineering
11. Enhancing automation and manufacturing with digital twin systems - Sarthak Jindal, Atul Mishra and Alok Mishra
12. Exploring the concept and use of organizational digital twin - Maria-Isabel Sanchez-Segura, Fuensanta Medina- Dominguez and Juan-Miguel Gomez-Berbis
13. Data clumps as structural indicators in digital twin software: a static analysis perspective - Nils Baumgartner, Alexander Tessmer, Padma Iyenghar and Elke Pulvermüller
14. Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control - Hediye Orhan, Esma Nisa Candan, Alperen Eroğlu and Hüseyin Haklı
15. DevOps for and by digital twins leveraging virtual replicas in continuous software engineering - Gwendal Beaumont, Antoine Beugnard, Jannik Laval, Salvador Martínez, Souad R. Chaniour, Christelle Urtado, Sylvain Vauttier and Bérenger Akodo
PART IV: Application domains
16. Digital twin underwater game engine environment for generating deep learning fish detection datasets - Ivan Nikolov, Sebastian Whitehead, Jonas Lind, Rasmus Jacobsen, Arlonsompoon Lind and Mads Sørensen
17. Toward digital twins in the petroleum industry: opportunities and challenges - Marya Al Amri, William Hurst, Kwabena Bennin and Bedir Tekinerdogan
18. The digital twin revolution: optimizing healthcare built environments for safety, efficiency, and resiliency - Marwa Elkashif and Alshimaa A. Farag
19. Reducing errors in disaster management data with digital-twin architecture - Yusuf Kaşan, Mehmet Akşit, Umutcan Ayasandır, Nail Karabay and Seher Turan
20. Digital twins for disaster management: mitigating structural obstacles in the response pipeline - Togay Yazar, Yusuf Kaşan, Seher Turan and Mehmet Akşit
21. Digital twin-based reference architecture for smart greenhouses - Gürkan Soykan, Önder Babur, Qingzhi Liu and Bedir Tekinerdogan
Conclusion
Acknowledgements
References
Index
