Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders-Reference-Cited by-同舟云学术

Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders

Published:2022-02 Issue: Volume:288 Page:132647
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Ba-Alawi Abdulrahman H.,Loy-Benitez Jorge,Kim SangYun,Yoo ChangKyoo^ORCID

Funder

Ministry of SMEs and Startups

Ministry of Science and ICT, South Korea

Ministry of Environment

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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