Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Chowdhury, Niaz (VerfasserIn), Mackenzie, Lewis M. (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2022
Schlagwörter:
Zusammenfassung:This book comprehensively covers a wide range of topics from the smart transportation domain. It discusses protocols, applications, and security concerns in various vehicular networks using examples and easy-to-understand figures. The book's first four chapters focus on vehicular network protocols and applications, while the remaining four chapters incorporate security, trust, and privacy issues with examples from real-life cases. The book concludes with a vision of what to expect in the near future and will be an invaluable resource for anybody interested in this nascent technology and its variegated applications.Dr. Lewis M. Mackenzie is a Senior Lecturer in Computing Science at the University of Glasgow.Dr. Niaz Chowdhury is a Postdoctoral Research Associate in Knowledge Media Institute, the Open University in England
Beschreibung: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
Umfang:xiii, 201 Seiten Illustrationen, Diagramme 235 mm
ISBN:9780367457440
9781032108728