Buch, Englisch, 216 Seiten, Format (B × H): 241 mm x 162 mm, Gewicht: 464 g
Protocols, Applications and Security Concerns
Buch, Englisch, 216 Seiten, Format (B × H): 241 mm x 162 mm, Gewicht: 464 g
ISBN: 978-0-367-45744-0
Verlag: Taylor & Francis Ltd
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.
Zielgruppe
Academic
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikrowellentechnik
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Jahrbücher, Jahresbände und Almanache
Weitere Infos & Material
Chapter 1: Digital Twin Technology: An Evaluation
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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