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.

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Yes, you can access AI-Driven Digital Twin and Industry 4.0 by Sita Rani,Pankaj Bhambri,Sachin Kumar,Piyush Kumar Pareek,Ahmed A. Elngar in PDF and/or ePUB format, as well as other popular books in Computer Science & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Industrial Engineering

Index

Computer Science

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
About the Editors
Contributors
Chapter 1: Industry 4.0: Framework and Applications
Chapter 2: Artificial Intelligence Applications in Industry 4.0: Applications and Challenges
Chapter 3: Role of Artificial Intelligence in Industry 4.0: Applications and Challenges
Chapter 4: Digital Twin Technology: A Review
Chapter 5: Digital Twin in Industry 4.0: Application Areas and Challenges
Chapter 6: Digital Twin: Enabling Technologies, Applications, and Challenges
Chapter 7: Big Data Analytics with Digital Twin for Industrial Applications
Chapter 8: AI-Driven Digital Twin Conceptual Framework and Applications
Chapter 9: AI-Driven Digital Twin for Healthcare Applications
Chapter 10: Application of Artificial Intelligence in Resource-Poor Healthcare
Chapter 11: Artificial Intelligence and Internet of Things (IoT) Facilitated Digital Twin for Industry 4.0 Application Domains
Chapter 12: AI-Driven Digital Twin and Resource Optimization in Industry 4.0 Ecosystem
Chapter 13: Digital Twin for Sustainable Industrial Development
Chapter 14: Environmental Impacts of Industrial Processes in Industry 4.0 Ecosystem Artificial Intelligence Approach
Chapter 15: Digital Twin for Sustainable Industrial Development
Chapter 16: AI-Driven Digital Twin for Industrial Engineering Applications
Chapter 17: Role of Digital Twin in the Design and Development of Smart Cities
Chapter 18: Impact of Hybrid [CPU+GPU] HPC Infrastructure on AI/ML Techniques in Industry 4.0
Chapter 19: Image Sensing for Industry 4.0 Using Auto Resonance Networks A Case Study
Index

About this book

Frequently asked questions

Information

Table of contents