Digital Twins

Name: Digital Twins
Price: 180 USD
Availability: InStock
ISBN: 9780443455735

Core Principles and AI Integration

by Bedir Tekinerdogan, Cor Verdouw

1st Edition

Publisher: Morgan Kaufmann

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Book Details

Print ISBN	9780443455735
eText ISBN	9780443455728
Publisher	Morgan Kaufmann
Publishing Year	2026
Edition	1st Edition
Language	English

Digital Twins: Core Principles and AI Integration, 1st Edition provides systematic software and systems engineering foundations for constructing digital representations of physical assets. Directed toward software engineers, developers, software architects, and artificial intelligence researchers, the text establishes core modeling approaches for complex environments. It clarifies fundamental architectural methods required to build dependable twin infrastructures across technical domains.

The volume demonstrates how machine learning, deep learning, generative AI, and autonomous agents enhance predictive analytics and operational optimization. Detailed analyses explain how these computational tools strengthen real-time anomaly detection and facilitate automated decision-making. Technical professionals gain practical insights into integrating algorithmic modules directly into operational engineering workflows.

Furthermore, the publication examines key research challenges in trustworthy AI, data governance, system security, and digital twin ecosystem scaling. This analytical focus supports computer science researchers who assess technical bottlenecks in large systems. The text serves as a dedicated resource for teams designing next-generation digital replicas.

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