Applying of Recurrent and Convolutional Neural Networks for Anomaly Detection of Industrial Process
Journal of the Ural Federal District Information security
doi 10.14529/secur190209
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Date
January 1, 2019
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FSAEIHE South Ural State University (National Research University)