Robust machine learning algorithms for predicting coastal water quality index.

Uddin, Md Galal; Nash, Stephen; Mahammad Diganta, Mir Talas; Rahman, Azizur; Olbert, Agnieszka I

Uddin, Md Galal; Nash, Stephen; Mahammad Diganta, Mir Talas; Rahman, Azizur; Olbert, Agnieszka I.

Afiliación

Uddin MG; School of Engineering, National University of Ireland Galway, Ireland; Ryan Institute, National University of Ireland Galway, Ireland; MaREI Research Centre, National University of Ireland Galway, Ireland. Electronic address: u.mdgalal1@nuigalway.ie.
Nash S; School of Engineering, National University of Ireland Galway, Ireland; Ryan Institute, National University of Ireland Galway, Ireland; MaREI Research Centre, National University of Ireland Galway, Ireland.
Mahammad Diganta MT; School of Engineering, National University of Ireland Galway, Ireland; Ryan Institute, National University of Ireland Galway, Ireland; MaREI Research Centre, National University of Ireland Galway, Ireland.
Rahman A; School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, Australia; The Gulbali Institute of Agriculture, Water and Environment, Charles Sturt University, Wagga Wagga, Australia.
Olbert AI; School of Engineering, National University of Ireland Galway, Ireland; Ryan Institute, National University of Ireland Galway, Ireland; MaREI Research Centre, National University of Ireland Galway, Ireland.

J Environ Manage ; 321: 115923, 2022 Nov 01.

Article en En | MEDLINE | ID: mdl-35988401

Asunto(s)

Ecosistema; Calidad del Agua; Algoritmos; Teorema de Bayes; Aprendizaje Automático; Reproducibilidad de los Resultados

Palabras clave

Coastal water quality; Coastal water quality index model; Cork harbour; Robust machine learning algorithms; Uncertainty

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Calidad del Agua / Ecosistema Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article

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