Description
Digital Twins for Sustainable Development covers digital twins for sustainability as a virtual representation of a physical system or environment, such as a building, city, or natural ecosystem and how they are used to support sustainable development and management practices. The book demonstrates how data from a variety of sources, such as sensors, satellite imagery, and other monitoring tools can be used for advanced analytics and modeling techniques to simulate the system's behavior over time. This allows researchers and professionals in computer science to manage complex systems and promote sustainable development and resource management practices.- Overviews the use of digital twins and their applications for sustainable development- Highlights methods and strategies that use digital twins to manage complex systems- Contains case studies that illustrate the benefits of using digital twins, including how energy usage patterns can be analyzed and optimized to reduce energy waste and carbon emissions
Table of Contents
1. Introduction of Digital Twins2. Role of AI, ML and IoT in designing Digital Twins3. Digital Twins in Precision Agriculture4. Machine-Learning enabled Digital Twin in Manufacturing5. Application of Digital Twins in Supply chain/Logistics Industry6. Improving operational efficiency of healthcare operations using Digital Twins7. Health Digital Twins as instruments for Precision Medicine8. IoT and Digital Twins enabled Smart Learning in Education9. Digital Twins for Managing Natural Resources10. Urban Planning supported by Digital Twins11. Simulate and prepare for natural disasters using Digital Twins12. Overcoming sustainability challenges with Digital Twins
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