An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems.

Im, Sung-Ju; Viet, Nguyen Duc; Lee, Byung-Tae; Jang, Am

Im, Sung-Ju; Viet, Nguyen Duc; Lee, Byung-Tae; Jang, Am.

Afiliación

Im SJ; Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, 90095, United States.
Viet ND; Centre for Environmental and Energy Research, Ghent University Global Campus, Incheon, 21985, Republic of Korea.
Lee BT; Central Research Facilities, Gwangju Institute of Science and Technology (GIST), 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 6100, Republic of Korea. Electronic address: btlee@gist.ac.kr.
Jang A; Department of Global Smart City, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, Republic of Korea. Electronic address: amjang@skku.edu.

Environ Res ; 237(Pt 1): 116786, 2023 Nov 15.

Article en En | MEDLINE | ID: mdl-37517485

Palabras clave

AI-based modeling; Decision tree; Membrane system; Optimization; Prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Res Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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