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Digital twin = architectures, networks, and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital twin/ by Yan Zhang.
Reminder of title:	architectures, networks, and applications /
Author:	Zhang, Yan.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xvi, 126 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 1: Introduction -- Chapter 2: Digital Twin Models and Networks -- Chapter 3: Artificial Intelligence for Digital Twin -- Chapter 4: Edge Computing for Digital Twin -- Chapter 5: Blockchain for Digital Twin -- Chapter 6: Digital Twin for 6G Networks -- Chapter 7: Digital Twin for Aerial-Ground Networks -- Chapter 8: Digital Twin for Internet of Vehicles.
Contained By:	Springer Nature eBook
Subject:	Digital twins (Computer simulation) -
Online resource:	https://doi.org/10.1007/978-3-031-51819-5
ISBN:	9783031518195

Digital twin = architectures, networks, and applications /
Zhang, Yan.

Digital twinarchitectures, networks, and applications /[electronic resource] :by Yan Zhang. - Cham :Springer Nature Switzerland :2024. - xvi, 126 p. :ill. (some col.), digital ;24 cm. - Simula SpringerBriefs on computing,v. 162512-1685 ;. - Simula SpringerBriefs on computing ;v. 16..

Chapter 1: Introduction -- Chapter 2: Digital Twin Models and Networks -- Chapter 3: Artificial Intelligence for Digital Twin -- Chapter 4: Edge Computing for Digital Twin -- Chapter 5: Blockchain for Digital Twin -- Chapter 6: Digital Twin for 6G Networks -- Chapter 7: Digital Twin for Aerial-Ground Networks -- Chapter 8: Digital Twin for Internet of Vehicles.

Open access.

This open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. The objectives of this book are to provide the basic concepts of DT, to explore the promising applications of DT integrated with emerging technologies, and to give insights into the possible future directions of DT. For easy understanding, this book also presents several use cases for DT models and applications in different scenarios. The book starts with the basic concepts, models, and network architectures of DT. Then, we present the new opportunities when DT meets edge computing, Blockchain and Artificial Intelligence, and distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning) We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles (UAVs) The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of DT. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.

ISBN: 9783031518195

Standard No.: 10.1007/978-3-031-51819-5doiSubjects--Topical Terms:

3608573
Digital twins (Computer simulation)

LC Class. No.: QA76.9.C65

Dewey Class. No.: 003.3

Digital twin = architectures, networks, and applications /
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490 1 $a Simula SpringerBriefs on computing, $x 2512-1685 ; $v v. 16
505 0 $a Chapter 1: Introduction -- Chapter 2: Digital Twin Models and Networks -- Chapter 3: Artificial Intelligence for Digital Twin -- Chapter 4: Edge Computing for Digital Twin -- Chapter 5: Blockchain for Digital Twin -- Chapter 6: Digital Twin for 6G Networks -- Chapter 7: Digital Twin for Aerial-Ground Networks -- Chapter 8: Digital Twin for Internet of Vehicles.
506 $a Open access.
520 $a This open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. The objectives of this book are to provide the basic concepts of DT, to explore the promising applications of DT integrated with emerging technologies, and to give insights into the possible future directions of DT. For easy understanding, this book also presents several use cases for DT models and applications in different scenarios. The book starts with the basic concepts, models, and network architectures of DT. Then, we present the new opportunities when DT meets edge computing, Blockchain and Artificial Intelligence, and distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning) We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles (UAVs) The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of DT. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
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