This book, “AI-Driven Digital Twin and Industry 4.0,” reveals how AI-Driven Digital Twin technology is revolutionizing the Industry 4. 0 landscape, especially when compared with Smart Manufacturing and sustainable development. Thus, it discusses various examples to provide the audience with an insight into the applicability of AI and Digital Twin technology and its drawbacks, if any, for the industry.
The present book specifically emphasizes the role of Digital Twin technology in a concept called Smart Manufacturing. AI-Driven Digital Twin and Industry 4.0. Corresponding to code 0, various AI applications are implemented in Industry 4. Managers advance computational and communication technologies to a lesser extent 0 and stress the importance of various parameters. The book gives some case- studies concerning the application of AI-Driven Digital Twins in various sectors and describes techniques for assessing the environmental effects of industrial operations. It also answers the main question of overcoming shortcomings in creating AI-driven digital Twins and how AI assists in designing Digital Twins for diverse purposes.
This book, “AI-Driven Digital Twin and Industry 4.0,” could be handy for every reader who wants to learn more about the actual tendencies of AI, Digital Twin technology, and Smart Manufacturing. Pros: It provides good evidence concerning the present studies and advancements in these fields and describes the issues and prospects.
AI-Driven Digital Twin and Industry 4.0 Table of Contents:
- Industry 4.0: Framework and Applications
- Artificial Intelligence Applications in Industry 4.0: Applications and Challenges
- Role of Artificial Intelligence in Industry 4.0: Applications and Challenges
- Digital Twin Technology: A Review
- Digital Twin in Industry 4.0: Application Areas and Challenges
- Digital Twin: Enabling Technologies, Applications, and Challenges
- Big Data Analytics with Digital Twin for Industrial Applications
- AI-Driven Digital Twin: Conceptual Framework and Applications
- AI-Driven Digital Twin for Healthcare Applications
- Application of Artificial Intelligence in Resource-Poor Healthcare
- Artificial Intelligence and Internet of Things (IoT) Facilitated Digital Twin for Industry 4.0 Application Domains
- AI-Driven Digital Twin and Resource Optimization in Industry 4.0 Ecosystem
- Digital Twin for Sustainable Industrial Development
- Environmental Impacts of Industrial Processes in Industry 4.0 Ecosystem: Artificial Intelligence Approach
- Digital Twin for Sustainable Industrial Development
- AI-Driven Digital Twin for Industrial Engineering Applications
- Role of Digital Twin in the Design and Development of Smart Cities
- Impact of Hybrid [CPU+GPU] HPC Infrastructure on AI/ML Techniques in Industry 4.0
- Image Sensing for Industry 4.0 Using Auto Resonance Networks: A Case Study
Who is this course for?
- Students
- Researchers
- Academicians
- Industry experts
- Professionals in related fields
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