Predicting water quality in municipal water management systems using a hybrid deep learning model-Reference-Cited by-同舟云学术

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Predicting water quality in municipal water management systems using a hybrid deep learning model

Published:2024-07 Issue: Volume:133 Page:108420
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Luo Wenxian,Huang Leijun^ORCID,Shu Jiabin,Feng Hailin,Guo Wenjie,Xia Kai,Fang Kai^ORCID,Wang Wei

Funder

Zhejiang Province Public Welfare Technology Application Research Project

Publisher

Elsevier BV

Reference86 articles.

1. Time series and neural network to forecast water quality parameters using satellite data;Al Shehhi;Cont. Shelf Res.,2021

2. Stream water quality prediction using boosted regression tree and random forest models;Alnahit;Stoch. Environ. Res. Risk Assess.,2022

3. Comparative assessment of individual and ensemble machine learning models for efficient analysis of river water quality;Alqahtani;Sustainability,2022

4. Time series analysis of water quality parameters at Stillaguamish River using order series method;Arya;Stoch. Environ. Res. Risk Assess.,2015

5. Machine learning algorithms for efficient water quality prediction;Azrour;Model. Earth Syst. Environ.,2022

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