Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders - researchr publication related

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Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau. Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digital Signal Processing, 130:103704, 2022. [doi]

The following publications are possibly variants of this publication:

Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent AutoencodersQingning Lu, Wenzhong Li, Chuanze Zhu, Yizhou Chen, Yinke Wang, Zhijie Zhang, Linshan Shen, Sanglu Lu. acml 2022: 674-689 [doi]

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