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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 6: Health Care in the Cyberspace: Medical Cyber-Physical System and Digital Twin Challenges
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Citations

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132 Dimensions

Readers on

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124 Mendeley
Summary Dimensions citations
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Chapter title
Health Care in the Cyberspace: Medical Cyber-Physical System and Digital Twin Challenges
Chapter number 6
Book title
Digital Twin Technologies and Smart Cities
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-18732-3_6
Book ISBNs
978-3-03-018731-6, 978-3-03-018732-3
Authors

Jaime Ibarra Jimenez, Hamid Jahankhani, Stefan Kendzierskyj, Jimenez, Jaime Ibarra, Jahankhani, Hamid, Kendzierskyj, Stefan

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 15%
Student > Master 15 12%
Researcher 12 10%
Student > Bachelor 6 5%
Professor 4 3%
Other 19 15%
Unknown 49 40%
Readers by discipline Count As %
Computer Science 29 23%
Engineering 24 19%
Business, Management and Accounting 4 3%
Nursing and Health Professions 2 2%
Chemical Engineering 2 2%
Other 11 9%
Unknown 52 42%

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