Feature selection approaches for predictive modelling of cadmium sources and pollution levels in water springs.

Abu Salem, Fatima K; Jurdi, Mey; Alkadri, Mohamad; Hachem, Firas; Dhaini, Hassan R

Abu Salem, Fatima K; Jurdi, Mey; Alkadri, Mohamad; Hachem, Firas; Dhaini, Hassan R.

Afiliação

Abu Salem FK; Department of Computer Science, Faculty of Arts and Sciences, American University of Beirut, Beirut, Lebanon.
Jurdi M; Department of Environmental Health, Faculty of Health Sciences, American University of Beirut, P.O. Box 11-0236, Riad El-Solh, Beirut, 1107 2020, Lebanon.
Alkadri M; Department of Computer Science, Faculty of Arts and Sciences, American University of Beirut, Beirut, Lebanon.
Hachem F; Department of Computer Science, Faculty of Arts and Sciences, American University of Beirut, Beirut, Lebanon.
Dhaini HR; Department of Environmental Health, Faculty of Health Sciences, American University of Beirut, P.O. Box 11-0236, Riad El-Solh, Beirut, 1107 2020, Lebanon. hd24@aub.edu.lb.

Environ Sci Pollut Res Int ; 29(6): 8253-8268, 2022 Feb.

Article em En | MEDLINE | ID: mdl-34482481

Assuntos

Cádmio; Nascentes Naturais; Poluição Ambiental; Aprendizado de Máquina; Água

Palavras-chave

Cadmium (Cd); Machine learning; Solid waste; Traffic emission; Water pollution

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Cádmio / Nascentes Naturais Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Líbano

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