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Evaluation of machine learning techniques to select marine oil spill response methods under small-sized dataset conditions.
Mohammadiun, Saeed; Hu, Guangji; Gharahbagh, Abdorreza Alavi; Li, Jianbing; Hewage, Kasun; Sadiq, Rehan.
Afiliación
  • Mohammadiun S; School of Engineering, University of British Columbia, Okanagan, 3333 University Way, Kelowna, BC V1V 1V7 Canada. Electronic address: s.mohammadiun@alumni.ubc.ca.
  • Hu G; School of Engineering, University of British Columbia, Okanagan, 3333 University Way, Kelowna, BC V1V 1V7 Canada. Electronic address: guangji.hu@gmail.com.
  • Gharahbagh AA; Department of Electrical and Computer Engineering, Azad University - Shahrood Branch, Shahrood 1584743311, Iran. Electronic address: abalavi.gh@gmail.com.
  • Li J; Environmental Engineering Program, University of Northern British Columbia, 3333 University Way, Prince George, BC V2N 4Z9 Canada. Electronic address: jianbing.li@unbc.ca.
  • Hewage K; School of Engineering, University of British Columbia, Okanagan, 3333 University Way, Kelowna, BC V1V 1V7 Canada. Electronic address: kasun.hewage@ubc.ca.
  • Sadiq R; School of Engineering, University of British Columbia, Okanagan, 3333 University Way, Kelowna, BC V1V 1V7 Canada. Electronic address: rehan.sadiq@ubc.ca.
J Hazard Mater ; 436: 129282, 2022 08 15.
Article en En | MEDLINE | ID: mdl-35739791
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminación por Petróleo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Hazard Mater Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminación por Petróleo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Hazard Mater Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos