Machine Learning in NextG Networks via Generative Adversarial Networks
Author:
Affiliation:
1. Department of EECS, Center for Pervasive Communications and Computing (CPCC), University of California at Irvine, Irvine, CA, USA
2. UTS Inc., Greenbelt, MD, USA
3. Intelligent Automation, A BlueHalo Company, Rockville, MD, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/6687307/9790075/09718534.pdf?arnumber=9718534
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5. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
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