Digital Twins: Internet of Things, Machine Learning, and Smart Manufacturing

✍ Scribed by Yogini Borole; Pradnya Borkar; Roshani Raut; Vijaya Parag Balpande; Prasenjit Chatterjee

• Publisher: De Gruyter
• Year: 2023
• Tongue: English
• Leaves: 256
• Series: Smart Computing Applications; 8
• Category: Library

✦ Synopsis

This book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

• Comprehensive theoretical account of digital twin technologies.
• Applications to Internet of Things and Machine Learning.
• Detailed analysis of smart city and smart manufacturing case studies.

✦ Table of Contents

Preface
Contents
Chapter 1 What Is Digital Twin? Digital Twin Concept and Architecture
Chapter 2 Benefits of Digital Twin Modelling
Chapter 3 Modelling of Digital Twin
Chapter 4 Digital Twin and IoT
Chapter 5 Machine Learning, AI, and IoT to Construct Digital Twin
Chapter 6 Intelligent and Smart Manufacturing with AI Solution
Chapter 7 Information and Data Fusion for Decision-Making
Chapter 8 Digital Twin Use Cases and Industries
Chapter 9 Security in Digital Twin
Chapter 10 Implementation of Digital Twin
Chapter 11 Digital Twin Simulator
Chapter 12 Case Studies: Smart Cities Based on Digital Twin
Index