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Prediction of Geosmin at Different Depths of Lake Using Machine Learning Techniques.
Kwon, Yong-Su; Cho, In-Hwan; Kim, Ha-Kyung; Byun, Jeong-Hwan; Bae, Mi-Jung; Kim, Baik-Ho.
  • Kwon YS; EcoBank Team, Division of Ecological Information, National Institute of Ecology, Seocheon, Busan 33657, Chungcheongnam-do, Korea.
  • Cho IH; Department of Environmental Science, Hanyang University, Seoul 04763, Korea.
  • Kim HK; Department of Environmental Science, Hanyang University, Seoul 04763, Korea.
  • Byun JH; Han-River Environment Research Center, National Institute of Environmental Research, Yangpyeong-gun, Incheon 12585, Gyeonggi-do, Korea.
  • Bae MJ; Department of Life Science, Hanyang University, Seoul 04763, Korea.
  • Kim BH; Biodiversity Research Team, Freshwater Biodiversity Research Bureau, Nakdonggang National Institute of Biological Resources, Sangju 37242, Gyeongsangbuk-do, Korea.
Int J Environ Res Public Health ; 18(19)2021 09 30.
Article en En | MEDLINE | ID: mdl-34639603
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fitoplancton / Lagos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fitoplancton / Lagos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article