AI-Driven Digital Twin and Industry 4.0 (eBook, PDF)
A Conceptual Framework with Applications
Redaktion: Rani, Sita; Elngar, Ahmed A.; Pareek, Piyush Kumar; Kumar, Sachin; Bhambri, Pankaj
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AI-Driven Digital Twin and Industry 4.0 (eBook, PDF)
A Conceptual Framework with Applications
Redaktion: Rani, Sita; Elngar, Ahmed A.; Pareek, Piyush Kumar; Kumar, Sachin; Bhambri, Pankaj
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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.
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- AI-Driven Digital Twin and Industry 4.0 (eBook, ePUB)52,95 €
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- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 338
- Erscheinungstermin: 19. Juni 2024
- Englisch
- ISBN-13: 9781040041130
- Artikelnr.: 70403187
- Verlag: Taylor & Francis
- Seitenzahl: 338
- Erscheinungstermin: 19. Juni 2024
- Englisch
- ISBN-13: 9781040041130
- Artikelnr.: 70403187
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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
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