Vehicular Communications for Smart Cars

Dr. Lewis M. Mackenzie is a Senior Lecturer in Computing Science at the University of Glasgow. His primary research interests are in machine architectures, the performance modelling of communication systems, vehicular networks and usable security. Dr Mackenzie's recently published work has involved the modelling of traffic patterns in a variety of scenarios from regular wormhole-switched multi-computer interconnects to mobile ad-hoc wireless networks (MANETs), the secure use of vehicular ad hoc networks in safety applications, graphical authentication mechanisms and wearable technology. He is also co-author of a recent book on the limits of computation. Dr. Niaz Chowdhury is a Postdoctoral Research Associate in Knowledge Media Institute, the Open University in England where his primary research interests are Wireless Networks, Internet of Things (IoT), Smart City, Machine Learning and Big Data Analysis. Prior to this, he took another postdoc position in the Department of Computing and Communication of the same university where he worked within the smart city project MK-Smart. Dr. Chowdhury obtained his PhD from the School of Computing Science, University of Glasgow as a recipient of the highly competitive Scottish ORS Scholarship. He was also a research scholar at the School of Computer Science in Trinity College Dublin where he received prestigious Govt. of Ireland IRCSET Embark Initiative Scholarship. Dr. Chowdhury is also a qualified engineer graduating in Computer Science and Engineering with a bachelor and a masters degree with Gold Medal distinction from East West University, Bangladesh. His recent publications include security issues in Vehicular Ad hoc Networks, and design and performance analysis of wireless protocols of various kinds in journals, conference proceedings and book chapter.

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