Digital twin technology. (2021)

• Record Type: Book
• Further Information: Note: Edited by Gopal Chaudhary, Manju Khari, Mohamed Elhoseny.
• Editors: Chaudhary, Gopal; Khari, Manju; Elhoseny, Mohamed
• Contents: Chapter 1: Digital Twin Technology: An Evaluation Chapter 2: Digital Twin: Towards Internet of Drones Chapter 3: Digital Twin in Agriculture Sector: Detection of Disease using Deep Learning Chapter 4: Crop Diseases Detection and Prevention using AI and Machine Learning Techniques Chapter 5: Architecture of Digital Twin for Network Forensic Analysis Using NMAP and WireShark Chapter 6: W ind catchers as earth building: Digital Twins vs green sustainable architecture Chapter 7: Digital Twin and the Detection and Location of DoS attacks to Secure Cyber-Physical UAS Chapter 8: Digital twin techniques in Recognition of Human Action using the fusion of Convolutional Neural Network Chapter 9: eVote - A Decentralised Voting Platform Chapter 10: Nessus: A vulnerability scanner tool in network forensic Chapter 11: Case Studies Related to Depression Detection Using Deep Learning Techniques
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 658.4062; Business -- Technological innovations
• Languages: English
• ISBNs: 9781000455915; 9781000455878; 9781003132868
• Related ISBNs: 9780367677954
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.