array(2) { ["lab"]=> string(4) "1286" ["publication"]=> string(5) "11866" } Identification of suitable technologies for drinking water quality prediction: a comparative study of traditional, ensemble, cost-sensitive, outlier detection learning models and sampling algorithms - 环境暴露与健康实验室 | LabXing

环境暴露与健康实验室

简介 主要研究方向:环境、营养暴露与健康,生命早期发育、环境卫生毒理、分析化学、代谢组学

分享到

Identification of suitable technologies for drinking water quality prediction: a comparative study of traditional, ensemble, cost-sensitive, outlier detection learning models and sampling algorithms

2021
期刊 ACS ES&T Water
下载全文
  • DOI: 10.1021/acsestwater.1c00037