A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches-Reference-Cited by-同舟云学术

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

Published:2023-02 Issue: Volume:229 Page:119422
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Uddin Md Galal,Nash Stephen,Rahman Azizur,Olbert Agnieszka I.

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference72 articles.

1. Water quality indices;Abbasi,2012

2. A review of uncertainty quantification in deep learning: Techniques, applications and challenges;Abdar;Inf. Fusion,2021

3. Analysis of water quality indices and machine learning techniques for rating water pollution: A case study of Rawal Dam, Pakistan;Ahmed;Water Supply,2021

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

5. GUM modeling: Guide to the expression of uncertainty in measurement - Part 6: Developing and using measurement models JCGM GUM-6,2020

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