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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Bibliographic Details

Published in:	Alexandria engineering journal Vol. 108; pp. 436 - 444
Main Authors:	Zhao, Xigang, Liu, Peng, Mahmoudi, Saïd, Garg, Sahil, Kaddoum, Georges, Hassan, Mohammad Mehedi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2024 Elsevier
Subjects:	Anomaly detection Autoencoder Normalizing flow Time series Normalizing flow Autoencoder Anomaly detection Time series
ISSN:	1110-0168
Online Access:	Get full text
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