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A novel method for micropollutant quantification using deep learning and multi-objective optimization.
Yun, Daeun; Kang, Daeho; Jang, Jiyi; Angeles, Anne Therese; Pyo, JongCheol; Jeon, Junho; Baek, Sang-Soo; Cho, Kyung Hwa.
Afiliación
  • Yun D; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan 44919, South Korea.
  • Kang D; Department of Environmental Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, South Korea.
  • Jang J; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan 44919, South Korea.
  • Angeles AT; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan 44919, South Korea.
  • Pyo J; Center for Environmental Data Strategy, Korea Environment Institute, Sejong 30147, South Korea.
  • Jeon J; Department of Environmental Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, South Korea; School of Smart and Green Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, South Korea.
  • Baek SS; Department of Environmental Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan-Si, Gyeongbuk 38541, South Korea. Electronic address: kbcqrkbcqr12@gmail.com.
  • Cho KH; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan 44919, South Korea. Electronic address: khcho@unist.ac.kr.
Water Res ; 212: 118080, 2022 Apr 01.
Article en En | MEDLINE | ID: mdl-35114526
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Aprendizaje Profundo Idioma: En Revista: Water Res Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Aprendizaje Profundo Idioma: En Revista: Water Res Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur