Wasserstein GAN-Based Digital Twin-Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks
Author:
Affiliation:
1. Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea
2. School of Computing, Engineering and Built Environment, Edinburgh Napier University, Edinburgh, U.K
Funder
2023 Research Fund of the University of Ulsan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10152544/10122519.pdf?arnumber=10122519
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