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Deep Anomaly Detection on Tennessee Eastman Process Data.

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Title: Deep Anomaly Detection on Tennessee Eastman Process Data.
Authors: Hartung, Fabian1,2, Franks, Billy Joe1, Michels, Tobias1, Wagner, Dennis1, Liznerski, Philipp1, Reithermann, Steffen1, Fellenz, Sophie1, Jirasek, Fabian1, Rudolph, Maja3, Neider, Daniel4, Leitte, Heike1, Song, Chen5, Kloepper, Benjamin5, Mandt, Stephan6, Bortz, Michael7, Burger, Jakob8, Hasse, Hans1, Kloft, Marius1, kloft@cs.uni-kl.de
Source: Chemie Ingenieur Technik (CIT); Jul2023, Vol. 95 Issue 7, p1077-1082, 6p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Chemie+Ingenieur+Technik+%28CIT%29%22">Chemie Ingenieur Technik (CIT)</searchLink>; Jul2023, Vol. 95 Issue 7, p1077-1082, 6p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164437986
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