Innovative interpretable AI-guided water quality evaluation with risk adversarial analysis in river streams considering spatial-temporal effects-Reference-Cited by-同舟云学术

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Innovative interpretable AI-guided water quality evaluation with risk adversarial analysis in river streams considering spatial-temporal effects

Published:2024-06 Issue: Volume:350 Page:124015
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Lin ZiYu^ORCID,Lim Juin Yau^ORCID,Oh Jong-Min^ORCID

Funder

Korea University

Publisher

Elsevier BV

Reference66 articles.

1. Escherichia coli and total coliforms in water and sediments at lake marinas;An;Environ. Pollut.,2002

2. Prediction of ecological status of surface water bodies with supervised machine learning classifiers;Arrighi;Sci. Total Environ.,2023

3. River water quality index prediction and uncertainty analysis: a comparative study of machine learning models;Asadollah;J. Environ. Chem. Eng.,2021

4. A novel application of remote sensing for modelling impacts of tree shading on water quality;Bachiller-Jareno;J. Environ. Manage.,2019

5. Improving prediction of water quality indices using novel hybrid machine-learning algorithms;Bui;Sci. Total Environ.,2020

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