A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection

Bing Xue; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Jiahao Yu; Shiyuan Fu; Chun Xiao

doi:10.1016/j.neunet.2024.106395

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A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection

Bing Xue Xin Gao Baofeng Li Feng Zhai Jiansheng Lu Jiahao Yu Shiyuan Fu Chun Xiao

Year: 2024 Journal: Neural Networks Vol: 177 Pages: 106395-106395 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2024.106395

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Keywords:

Computer science Anomaly detection Pattern recognition (psychology) Artificial intelligence Probabilistic logic Anomaly (physics) Generalization Feature (linguistics) Noise (video) Data mining Dependency (UML) Time series Machine learning Image (mathematics) Mathematics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection

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