Digital Twins for Sustainable Development
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 April 2026
- ISBN 9780443273889
- Binding Paperback
- No. of pages270 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long 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.
MoreTable of 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
