Vehicular Communications for Smart Cars
CRC Press (Verlag)
978-1-032-10872-8 (ISBN)
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This book 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 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. Niaz Chowdhury is a postdoctoral research associate at the Knowledge Media Institute, the Open University in England.
Dr. Lewis M. Mackenzie is a senior lecturer in computing science at the University of Glasgow.
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
| Erscheinungsdatum | 05.09.2024 |
|---|---|
| Zusatzinfo | 15 Tables, black and white; 39 Line drawings, black and white; 48 Halftones, black and white; 87 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 400 g |
| Themenwelt | Naturwissenschaften |
| Technik ► Fahrzeugbau / Schiffbau | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 1-032-10872-X / 103210872X |
| ISBN-13 | 978-1-032-10872-8 / 9781032108728 |
| Zustand | Neuware |
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