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Forecasting and Optimizing Dual Media Filter Performance via Machine Learning.
Moradi, Sina; Omar, Amr; Zhou, Zhuoyu; Agostino, Anthony; Gandomkar, Ziba; Bustamante, Heriberto; Power, Kaye; Henderson, Rita; Leslie, Greg.
Afiliación
  • Moradi S; Algae & Organic Matter Laboratory, School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia; UNESCO Centre for Membrane Science & Technology, School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia.
  • Omar A; School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia.
  • Zhou Z; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
  • Agostino A; Algae & Organic Matter Laboratory, School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia.
  • Gandomkar Z; Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2006, Australia.
  • Bustamante H; Sydney WaterCorporation, Sydney, Australia.
  • Power K; Sydney WaterCorporation, Sydney, Australia.
  • Henderson R; Algae & Organic Matter Laboratory, School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia; School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia.
  • Leslie G; Algae & Organic Matter Laboratory, School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia; UNESCO Centre for Membrane Science & Technology, School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia; School of Chemical Engineering, Un
Water Res ; 235: 119874, 2023 May 15.
Article en En | MEDLINE | ID: mdl-36947925
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2023 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
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Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2023 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido