DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection

In recent years, the proliferation of IoT technologies and the widespread adoption of wireless sensors across various critical infrastructures such as power plants, service monitoring systems, space and earth exploration missions, and water treatment facilities have resulted in the generation of vas...

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Vydané v:	Alexandria engineering journal Ročník 108; s. 436 - 444
Hlavní autori:	Zhao, Xigang, Liu, Peng, Mahmoudi, Saïd, Garg, Sahil, Kaddoum, Georges, Hassan, Mohammad Mehedi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024 Elsevier
Predmet:	Anomaly detection Autoencoder Normalizing flow Time series Normalizing flow Autoencoder Anomaly detection Time series
ISSN:	1110-0168
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