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Table of Contents
Chapter 1. Introduction to the Book
Chapter 2. Requirements for the Optimization of Processes Using a Digital Twin of Production Systems
Chapter 3. Digital Twin: A Conceptual View
Chapter 4. Scan Methods and Tools for Reconstruction of Built Environments as Basis for Digital Twins
Chapter 5. Machine Learning in Manufacturing in the Era of Industry 4.0
Chapter 6. Object Recognition Methods in a Built Environment
Chapter 7. Data Quality Management for Interoperability
Chapter 8. Object Recognition Findings in a Built Environment
Chapter 9. Design of Simulation Models
Chapter 10. The Commercialization of Digital Twin by an Extension of a Business Eco-system
Chapter 11. Digital Twin: Conclusion and Future Perspectives.
Chapter 2. Requirements for the Optimization of Processes Using a Digital Twin of Production Systems
Chapter 3. Digital Twin: A Conceptual View
Chapter 4. Scan Methods and Tools for Reconstruction of Built Environments as Basis for Digital Twins
Chapter 5. Machine Learning in Manufacturing in the Era of Industry 4.0
Chapter 6. Object Recognition Methods in a Built Environment
Chapter 7. Data Quality Management for Interoperability
Chapter 8. Object Recognition Findings in a Built Environment
Chapter 9. Design of Simulation Models
Chapter 10. The Commercialization of Digital Twin by an Extension of a Business Eco-system
Chapter 11. Digital Twin: Conclusion and Future Perspectives.