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Author:   Niaz Chowdhury ,  Lewis Mackenzie
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.399kg
ISBN:  

9781032108728

ISBN 10:   103210872
Pages:   216
Publication Date:   08 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Digital Twin Technology: An Evaluation V. Jain, N. Luthra, D. Saini Chapter 2: Digital Twin: Towards Internet of Drones J. Arora, M. Tushir Chapter 3: Digital Twin in Agriculture Sector: Detection of Disease using Deep Learning M. Gupta, M. Kumari, C. Ved Chapter 4: Crop Diseases Detection and Prevention using AI and Machine Learning Techniques Meenu Gupta, Rakesh Kumar, Divya Singh Chapter 5: Architecture of Digital Twin for Network Forensic Analysis Using NMAP and WireShark Kapil Kumar, Manju Khari Chapter 6: Wind catchers as earth building: Digital Twins vs green sustainable architecture Hamed Niroumand, Charles J. Kibert, Somayeh Asadi, Fatemeh Mahdavi, Hadi Arabi Chapter 7: Digital Twin and the Detection and Location of DoS attacks to Secure Cyber-Physical UAS Gita Donkal, Anjali Donkal Chapter 8: Digital twin techniques in Recognition of Human Action using the fusion of Convolutional Neural Network Meenu Gupta, Rakesh Kumar, Sapna Dewari Chapter 9: eVote - A Decentralised Voting Platform Vanita Jain, Akanshu Raj, Abhishek Tanwar, Mridul Khurana Chapter 10: Nessus: A vulnerability scanner tool in network forensic Himanshu Chapter 11: Case Studies Related to Depression Detection Using Deep Learning Techniques Jagannath Jayanti, Madhavendra Singh, Vibhuti Jain

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