Time-Series to Image-Transformed Adversarial Autoencoder for Anomaly Detection
Author:
Affiliation:
1. IP Prosecution Team, Samsung Electronics, Seocho-gu, Seoul, South Korea
2. Department of Computer Science, Yonsei University, Seodaemun-gu, Seoul, South Korea
Funder
National Research Foundation (NRF) through Korean Government [Ministry of Science and ICT (MSIT)]
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10649546.pdf?arnumber=10649546
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1. Industry 4.0, digitization, and opportunities for sustainability
2. Machine health management in smart factory: A review
3. A Deep Temporal Model for Mental Fatigue Detection
4. Disk aware discord discovery: finding unusual time series in terabyte sized datasets
5. Cybersecurity: Time Series Predictive Modeling of Vulnerabilities of Desktop Operating System Using Linear and Non-Linear Approach
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