AI-Driven Digital Twin and Industry 4.0
portes grátis
AI-Driven Digital Twin and Industry 4.0
A Conceptual Framework with Applications
Bhambri, Pankaj; Elngar, Ahmed A.; Kumar, Sachin; Pareek, Piyush Kumar; Rani, Sita
Taylor & Francis Ltd
05/2026
316
Mole
Inglês
9781032497839
15 a 20 dias
Descrição não disponível.
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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industrial automation systems;cyber-physical systems;predictive maintenance strategies;resource optimisation techniques;high performance computing applications;IoT-enabled manufacturing;environmental impact assessment industry
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
