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Full Description
A digital twin for sustainability is a virtual representation of a physical system or environment, such as a building, city, or natural ecosystem, used to support sustainable development and management practices. Digital Twins for Sustainable Development shows how data from a variety of sources, such as sensors, satellite imagery, and other monitoring tools, can be used for advanced analytics and modelling techniques to simulate the system's behaviour over time. This allows researchers and professionals in computer science to manage complex systems and to promote sustainable development and resource management practices.
Contents
1. Introduction of Digital Twins
2. Role of AI, ML and IoT in designing Digital Twins
3. Digital Twins in Precision Agriculture
4. Machine-Learning enabled Digital Twin in Manufacturing
5. Application of Digital Twins in Supply chain/Logistics Industry
6. Improving operational efficiency of healthcare operations using Digital Twins
7. Health Digital Twins as instruments for Precision Medicine
8. IoT and Digital Twins enabled Smart Learning in Education
9. Digital Twins for Managing Natural Resources
10. Urban Planning supported by Digital Twins
11. Simulate and prepare for natural disasters using Digital Twins
12. Overcoming sustainability challenges with Digital Twins
