The Fourth Industrial Revolution is being accelerated by the digital twin technological revolution, which converges intelligent technologies and defines the connectivity between physical and digital items. The Internet of Things (IoT) connects the real and digital worlds, allowing connected items to deliver a vast array of services to internet users. IoT devices create large amounts of data that may be fed into AI systems for decision- making. In a decentralized architecture, digital twin technology may be utilized to protect platforms and create smart contracts. Digital twins decentralized ledger, immutability, self- sovereign identification, and consensus procedures hold a lot of promise for improving AI algorithms. Furthermore, leveraging smart contracts in a digital twin system to facilitate user interaction via IoT might have a big influence, and this integrated platform is expected to revolutionize many fields.

Digital Twin Technology and Applications examines the problems, issues, and solutions for using big data to enable streaming services using IoT and AI with digital twin technology. The IoT network concept is the key to success, and to establish a solid IoT platform on which large data transmission may take place, it must handle protocol, standards, and architecture. The book provides insight into the principles and techniques of IoT and AI. It explores the idea of using blockchain to provide security in a variety of sectors. The book also covers the application of integrated technologies to strengthen data models, improve insights and discoveries, innovate audit systems, as well as digital twin technology application to intelligent forecasting, smart finance, smart retail, global verification, and transparent governance.

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Yes, you can access Digital Twin Technology and Applications by A. Daniel,Srinivasan Sriramulu,N. Partheeban,SANTHOSH JAYAGOPALAN in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Auerbach Publications

Year

2024

ISBN

9781040119013

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Half-Title Page
Title Page
Copyright Page
Table of Contents
About the Editors
List of Contributors
Chapter 1 Digital Twin Past, Present, and Future
Chapter 2 Digital Twin Types and Design
Chapter 3 Real Issues, Opportunities, and Open Investigations in Digital Twins
Chapter 4 Twin Technology: Exploring Types and Applications of Digital Twins
Chapter 5 The Convergence of Data Analytics, Digital Twins, and the IoT/IIoT: A New Era of Data-Driven Decision Making
Chapter 6 Simulation Strategies for Analyzing Data
Chapter 7 Navigating the Complexities of Digital Twin Implementation: Challenges and Strategies for Success
Chapter 8 Using Improved Finite Element Modeling to Combat Cardiovascular Disease: A Review of a Developing Area at the Intersection of Several Disciplines
Chapter 9 Comprehensive Study of Digital Twin in Smart and Customized Healthcare
Chapter 10 Sustainable Organic Farming in Indian Rural Areas with the Aid of the Internet of Things
Chapter 11 Predictive Analysis of Toxic Ions and Water Quality Based on Sensor Data Using LSTM and ARIMA Models
Chapter 12 Digital Representation of Agriculture Forms
Chapter 13 Accelerators for Clustering Applications in Machine Learning
Chapter 14 Design of a Smart Healthcare Environment with Digital Twinning and Machine Learning
Chapter 15 FloodWatch: Suggesting an IoT-Driven Flood Monitoring and Early Warning System for the Flood-Prone Cuddalore District in the Indian State of Tamilnadu
Index