AI-Driven Digital Twin and Industry 4.0
A Conceptual Framework with Applications
Series: Intelligent Manufacturing and Industrial Engineering;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 19 June 2024
- ISBN 9781032494739
- Binding Hardback
- No. of pages338 pages
- Size 234x156 mm
- Weight 453 g
- Language English
- Illustrations 90 Illustrations, black & white; 12 Halftones, black & white; 78 Line drawings, black & white; 11 Tables, black & white 572
Categories
Short description:
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on smart manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.
MoreLong description:
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.
AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances.
This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.
MoreTable of Contents:
1. Industry 4.0: Framework and Applications. 2. Artificial Intelligence Applications in Industry 4.0: Applications and Challenges. 3. Role of Artificial Intelligence in Industry 4.0: Applications and Challenges. 4. Digital Twin Technology: A Review. 5. Digital Twin in Industry 4.0: Application Areas and Challenges. 6. Digital Twin: Enabling Technologies, Applications, and Challenges. 7. Big Data Analytics with Digital Twin for Industrial Applications. 8. AI-Driven Digital Twin: Conceptual Framework and Applications. 9. AI-Driven Digital Twin for Healthcare Applications. 10. Application of Artificial Intelligence in Resource-Poor Health Care. 11. Artificial Intelligence and Internet of Things (IoT) Facilitated Digital Twin for Industry 4.0 Application Domains. 12. AI-Driven Digital Twin and Resource Optimization in Industry 4.0 Ecosystem. 13. Digital Twin for Sustainable Industrial Development. 14. Environmental Impacts of Industrial Processes in Industry 4.0 Ecosystem: Artificial Intelligence Approach. 15. Digital Twin for Sustainable Industrial Development. 16. AI-Driven Digital Twin for Industrial Engineering Applications. 17. Role of Digital Twin in the Design and Development of Smart Cities. 18. Impact of Hybrid [CPU+GPU] HPC Infrastructure on AI/ML Techniques in Industry 4.0. 19. Image Sensing for Industry 4.0 Using Auto Resonance Networks: A Case Study
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