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Predicting heterotrophic plate count exceedance in tap water: A binary classification model supervised by culture-independent data.
Park, Ji Won; Boxall, Joby; Maeng, Sung Kyu.
Affiliation
  • Park JW; Department of Civil and Environmental Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea.
  • Boxall J; Department of Civil and Structural Engineering, University of Sheffield, S13JD, United Kingdom.
  • Maeng SK; Department of Civil and Environmental Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea. Electronic address: smaeng@sejong.ac.kr.
Water Res ; 242: 120172, 2023 Aug 15.
Article in En | MEDLINE | ID: mdl-37307683
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drinking Water Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Water Res Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drinking Water Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Water Res Year: 2023 Document type: Article Country of publication: