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> Publications > Paper| A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process | ||
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Usman Safder+, Jorge Loy-Benitez+, Hai Tra Nguyen+, ChangKyoo Yoo*, A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, 46, pp.102580 (2022.01) (Ack (3개) (NRF: NRF중견2021R1A2C2007838 & & BKTproject(2020003160009) & CollaboR&D project(KOBI, Project No.S3105519). |
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| 이전글 | Multiple land-use fugacity model to assess the transport and fate of polycyclic aromatic hydrocarbons at an urban and suburban areas – A mega-city under COVID-19 pandemic | |
| 다음글 | A new utility-free circular integration approach for optimal multigeneration from biowaste streams | |