A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms
Author:
Affiliation:
1. Cologne Lab of Artificial Intelligence and Smart Automation (CAISA) TH Köln,Köln,Germany
2. ASINCO GmbH,Department of Research and Innovation,Duisburg,Germany
3. MDZ RHEINLAND - Rhineland Digital Centre for SMEs,Köln,51105
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892939.pdf?arnumber=9892939
Reference50 articles.
1. Anomaly Detection for Industrial Control System Based on Autoencoder Neural Network
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3. DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
4. Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks;ergen;ArXiv Preprint,2017
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