Digital Twins

Nyhet

Core Principles, System Engineering, and AI Integration

Häftad, Engelska, 2026

2 289 kr

Kommande

Digital Twins: Core Principles and AI Integration provides a comprehensive overview of digital twin technology, a cutting-edge innovation that bridges the physical and digital worlds. As digital twin technology evolves, its integration with various advanced digital solutions is becoming essential for achieving real-time insights and autonomous decision-making. Challenges include understanding the interoperability of these technologies, managing data complexity, ensuring security, and optimizing for low-latency environments. The authors demystify digital twin technology, providing a clear framework for understanding how to effectively implement and utilize digital twins. The book addresses common challenges such as data integration, security, scalability, and the alignment of digital twin models with actual physical processes. After presenting core concepts of digital twins for software engineering, the book progresses to a section on integration with advanced digital solutions such as AI, IoT, Cloud computing, Big Data Analytics, and Extended Reality (XR). Next, the authors provide readers with a thorough presentation of digital twins applications in a variety of settings and industry/research topics. Finally, the book concludes with a discussion of challenges and solutions, along with future trends in digital twins research and development.

Covers the intersection of digital twin technology with a range of advanced digital solutions, making it a valuable resource for those seeking to understand and implement these integrations
Provides real-world examples from various industries, such as smart manufacturing, healthcare, smart cities, agriculture, and food, and illustrates successful integration strategies and outcomes
Explores future trends and research opportunities, providing insights into how digital twins and advanced digital solutions will evolve and impact various sectors

Produktinformation

Utgivningsdatum2026-05-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor250
FörlagElsevier Science
ISBN9780443455735

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Dr. Bedir Tekinerdogan is a full professor and chair of the Information Technology group at Wageningen University in The Netherlands. He received his MSc degree (1994) and a PhD degree (2000) in Computer Science, both from the University of Twente, The Netherlands. From 2003 until 2008 he was a faculty member at University of Twente, after which he joined Bilkent University until 2015. He has more than 20 years of experience in software engineering research and education. His main research includes the engineering of smart software-intensive systems. In particular, he has focused on and is interested in software architecture design, software product line engineering, model-driven development, parallel computing, cloud computing and system of systems engineering. He has been active in dozens of national and international research and consultancy projects with various large software companies whereby he has worked as a principal researcher and leading software/system architect. He has developed and taught more than 15 different academic software engineering courses and has provided software engineering courses to more than 50 companies in The Netherlands, Germany and Turkey. Dr. Cor Verdouw is an expert affiliated with Wageningen University & Research, specializing in management science with a focus on agro-industrial chains and horticulture. His extensive knowledge encompasses key areas such as change management, management information systems, supply chain management, quality management, and information management.

PART I: INTRODUCTION AND FOUNDATIONS1. Introduction2. Foundational Concepts of Digital Twins3. Technological Ecosystem of Digital TwinsPART II: INTEGRATION WITH ADVANCED DIGITAL SOLUTIONS4. Integration with Artificial Intelligence (AI)5. Integration with the Internet of Things (IoT)6. Integration with Cloud Computing7. Integration with Big Data Analytics8. Integration with Extended Reality (XR)PART III: APPLICATIONS IN VARIOUS SECTORS9. Applications in Smart Manufacturing and Industry 4.010. Applications in Healthcare and Personalized Medicine11. Applications in Smart Agriculture and Food12. Applications in Smart Cities and Urban Planning13. Applications in Energy and Utilities14. Applications in Aerospace and DefensePART IV: CHALLENGES, SOLUTIONS, AND FUTURE TRENDS15. Challenges and Solutions in Digital Twin Integration16. Future Trends and Research Directions