Digital Twin Technology
Digital Twin Technology
Chaudhary, Gopal; Khari, Manju; Elhoseny, Mohamed
Taylor & Francis Ltd
10/2021
240
Dura
Inglês
9780367677954
15 a 20 dias
476
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: Wind 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
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: Wind 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