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> Publications > Paper| Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders | ||
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Abdulrahman H. Ba-Alawi†, Jorge Loy-Benitez†, SangYun Kim, ChangKyoo Yoo*, Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders, Chemosphere (ISSN: 0045-6535, SCIE, JCR TOP 12%), 288(3), pp.132647 (2022.2) (Ack (3개) (NRF: NRF중견2021R1A2C2007838 & & BKTproject(2020003160009) & CollaboR&D project(KOBI, Project No.S3105519). |
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| 이전글 | Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management | |
| 다음글 | Digitally-transformed early-warning protocol for membrane cleaning based on a fouling-cumulative sum chart: Application to a full-scale MBR plant | |