A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches.

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Bibliographic Details
Title: A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches.
Authors: Uddin MG; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland. Electronic address: u.mdgalal1@nuigalway.ie., Nash S; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of 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; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland.
Source: Water research [Water Res] 2023 Feb 01; Vol. 229, pp. 119422. Date of Electronic Publication: 2022 Nov 25.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2448
DOI:10.1016/j.watres.2022.119422