Digital twin technology

by Chaudhary, Gopal Elhoseny, Mohamed Khari, Manju

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Title Statements

Full title :Digital twin technology / edited by Gopal Chaudhary, Manju Khari, Mohamed Elhoseny.

Edition Statements

Publication Date:2021.
Edition:1st

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton
Language:eng
Publication Date:2021.

The Physical Object

Description:1 online resource : : illustrations (black and white)

Edition Identifiers

ISBN:9781000455915, 1000455912, 9781000455878, 1000455874, 9781003132868, 1003132863
DOI:10.1201/9781003132868
oclc:on1276797165
Dewey Decimal:658.4062

Chapter 1: Digital Twin Technology: An EvaluationChapter 2: Digital Twin: Towards Internet of DronesChapter 3: Digital Twin in Agriculture Sector: Detection of Disease using Deep Learning Chapter 4: Crop Diseases Detection and Prevention using AI and Machine Learning TechniquesChapter 5: Architecture of Digital Twin for Network Forensic Analysis Using NMAP and WireSharkChapter 6: Wind catchers as earth building: Digital Twins vs green sustainable architectureChapter 7: Digital Twin and the Detection and Location of DoS attacks to Secure Cyber-Physical UASChapter 8: Digital twin techniques in Recognition of Human Action using the fusion of Convolutional Neural NetworkChapter 9: eVote -- A Decentralised Voting Platform Chapter 10: Nessus: A vulnerability scanner tool in network forensicChapter 11: Case Studies Related to Depression Detection Using Deep Learning Techniques