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Characteristics prediction of hydrothermal biochar using data enhanced interpretable machine learning.
Chen, Chao; Wang, Zhi; Ge, Yadong; Liang, Rui; Hou, Donghao; Tao, Junyu; Yan, Beibei; Zheng, Wandong; Velichkova, Rositsa; Chen, Guanyi.
Afiliação
  • Chen C; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Wang Z; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Ge Y; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.
  • Liang R; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Hou D; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Tao J; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.
  • Yan B; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China; Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China. Electronic address: yanbeibei@tju.edu.cn.
  • Zheng W; School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
  • Velichkova R; Department of Hydroaerodynamics and Hydraulic machines, Technical University of Sofia, 1000 Sofia, Bulgaria.
  • Chen G; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China; School of Science, Tibet University, Lhasa 850012, China.
Bioresour Technol ; 377: 128893, 2023 Jun.
Article em En | MEDLINE | ID: mdl-36931444
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Carvão Vegetal Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Carvão Vegetal Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China