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                                       Details for article 9 of 30 found articles
 
 
  Development of an embedded molecular structure-based model for prediction of micropollutant treatability in a drinking water treatment plant by machine learning from three years monitoring data
 
 
Title: Development of an embedded molecular structure-based model for prediction of micropollutant treatability in a drinking water treatment plant by machine learning from three years monitoring data
Author: Kang, Jin-Kyu
Lee, Donmoon
Muambo, Kimberly Etombi
Choi, Jae-won
Oh, Jeong-Eun
Appeared in: Water research
Paging: Volume 239 () nr. C pages p.
Year: 2023
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 9 of 30 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands