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Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms.
Nguyen, Xuan Cuong; Nguyen, Thi Thanh Huyen; Le, Quyet V; Le, Phuoc Cuong; Srivastav, Arun Lal; Pham, Quoc Bao; Nguyen, Phuong Minh; La, D Duong; Rene, Eldon R; Ngo, H Hao; Chang, S Woong; Nguyen, D Duc.
Afiliación
  • Nguyen XC; Laboratory of Energy and Environmental Science, Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam; Faculty of Environmental Chemical Engineering, Duy Tan University, Da Nang, 550000, Viet Nam.
  • Nguyen TTH; Laboratory of Energy and Environmental Science, Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam; Faculty of Environmental Chemical Engineering, Duy Tan University, Da Nang, 550000, Viet Nam.
  • Le QV; Department of Materials Science and Engineering, Institute of Green Manufacturing Technology, Korea University, Seoul 02841, Republic of Korea.
  • Le PC; Department of Environmental Management, Faculty of Environment, The University of Danang-University of Science and Technology, Danang, 550000, Viet Nam.
  • Srivastav AL; Chitkara University School of Engineering and Technology, Chitkara University, Himachal Pradesh, India.
  • Pham QB; Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Viet Nam.
  • Nguyen PM; Faculty of Environmental Sciences, University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • La DD; Institute of Chemistry and Materials, Nghia Do, Cau Giay, Hanoi, Viet Nam.
  • Rene ER; Department of Environmental Engineering and Water Technology, IHE Delft Institute for Water Education, 2601DA Delft, the Netherlands.
  • Ngo HH; Center for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Australia.
  • Chang SW; Department of Environmental Energy Engineering, Kyonggi University, Suwon 442-760, Republic of Korea.
  • Nguyen DD; Faculty of Environmental and Food Engineering, Nguyen Tat Thanh University, 300A Nguyen Tat Thanh, District 4, Ho Chi Minh City, 755414, Viet Nam; Department of Environmental Energy Engineering, Kyonggi University, Suwon 442-760, Republic of Korea. Electronic address: nguyensyduc@gmail.com.
J Environ Manage ; 301: 113868, 2022 Jan 01.
Article en En | MEDLINE | ID: mdl-34628282
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Humedales / Aprendizaje Automático Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Humedales / Aprendizaje Automático Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido