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Digital Twin Technologies and Smart Cities

Overview of attention for book
Cover of 'Digital Twin Technologies and Smart Cities'

Table of Contents

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    Book Overview
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    Chapter 1 The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data into Action
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    Chapter 2 A Novel Approach Toward Enhancing the Quality of Life in Smart Cities Using Clouds and IoT-Based Technologies
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    Chapter 3 The Future of Mobility with Connected and Autonomous Vehicles in Smart Cities
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    Chapter 4 A Digital Twin Model for Enhancing Performance Measurement in Assembly Lines
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    Chapter 5 Information Sharing in Sustainable Value Chain Network (SVCN)––The Perspective of Transportation in Cities
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    Chapter 6 Health Care in the Cyberspace: Medical Cyber-Physical System and Digital Twin Challenges
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    Chapter 7 Present Scenarios of IoT Projects with Security Aspects Focused
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    Chapter 8 IoT Security, Privacy, Safety and Ethics
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    Chapter 9 CoAP—Application Layer Connection-Less Lightweight Protocol for the Internet of Things (IoT) and CoAP-IPSEC Security with DTLS Supporting CoAP
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    Chapter 10 Some Computational Considerations for Kernel-Based Support Vector Machine
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    Chapter 11 A Secure Hybrid RSA (SHRSA)-based Lightweight and Efficient Personal Messaging Communication Protocol
Attention for Chapter 1: The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data into Action
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Chapter title
The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data into Action
Chapter number 1
Book title
Digital Twin Technologies and Smart Cities
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-18732-3_1
Book ISBNs
978-3-03-018731-6, 978-3-03-018732-3
Authors

Maninder Jeet Kaur, Ved P. Mishra, Piyush Maheshwari, Kaur, Maninder Jeet, Mishra, Ved P., Maheshwari, Piyush

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 354 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 14%
Student > Master 44 12%
Researcher 25 7%
Student > Bachelor 22 6%
Lecturer 12 3%
Other 40 11%
Unknown 163 46%
Readers by discipline Count As %
Engineering 74 21%
Computer Science 45 13%
Business, Management and Accounting 9 3%
Design 8 2%
Unspecified 7 2%
Other 37 10%
Unknown 174 49%

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