Recent Research and Applications in Variational Autoencoders for Industrial Prognosis and Health Management: A Survey

Whether in the industrial, medical, or real-world domains, more and more data are being collected. The common particularity of all these application domains is that a great part of this data is mostly unlabeled. Thus, designing a learning model with a minimum of labeled data represents a major chall...

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Vydané v:	Prognostics and System Health Management Conference s. 193 - 203
Hlavní autori:	Zemouri, Ryad, Levesque, Melanie, Boucher, Etienne, Kirouac, Mathieu, Lafleur, Francois, Bernier, Simon, Merkhouf, Arezki
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2022
Predmet:	Deep learning Prognosis and Health Management Variational Autoencoders
ISSN:	2166-5656
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