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Machine learning-based prediction and experimental validation of heavy metal adsorption capacity of bentonite.
Guo, Lisheng; Xu, Xin; Niu, Cencen; Wang, Qing; Park, Junboum; Zhou, Lu; Lei, Haomin; Wang, Xinhai; Yuan, Xiaoqing.
Afiliação
  • Guo L; College of Construction Engineering, Jilin University, Changchun 130026, China.
  • Xu X; College of Construction Engineering, Jilin University, Changchun 130026, China. Electronic address: xuxinjlu@jlu.edu.cn.
  • Niu C; College of Construction Engineering, Jilin University, Changchun 130026, China.
  • Wang Q; College of Construction Engineering, Jilin University, Changchun 130026, China.
  • Park J; Department of Civil and Environment Engineering, Seoul National University, Seoul 08826, Republic of Korea.
  • Zhou L; College of Construction Engineering, Jilin University, Changchun 130026, China.
  • Lei H; College of Construction Engineering, Jilin University, Changchun 130026, China.
  • Wang X; College of Construction Engineering, Jilin University, Changchun 130026, China.
  • Yuan X; College of Construction Engineering, Jilin University, Changchun 130026, China.
Sci Total Environ ; 926: 171986, 2024 May 20.
Article em En | MEDLINE | ID: mdl-38552979
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article