Improving river water quality prediction with hybrid machine learning and temporal analysis-Reference-Cited by-同舟云学术

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Improving river water quality prediction with hybrid machine learning and temporal analysis

Published:2024-09 Issue: Volume:82 Page:102655
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

del Castillo Alberto Fernández,Garibay Marycarmen Verduzco,Díaz-Vázquez Diego,Yebra-Montes Carlos,Brown Lee E.,Johnson Andrew,Garcia-Gonzalez Alejandro,Gradilla-Hernández Misael Sebastián

Funder

Instituto Tecnológico y de Estudios Superiores de Monterrey

Publisher

Elsevier BV

Reference55 articles.

1. Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination;Abba;J. Hydrol.,2020

2. Efficient water quality prediction using supervised machine learning;Ahmed;Water,2019

3. Efficient Machine Learning for Big Data: A Review. Big Data Res., Big Data, Analytics, and High-Performance Computing;Al-Jarrah,2015

4. ANFIS-ARIMA modelling for scheming re-aeration of hydrologically altered rivers;Arora;J. Hydrol.,2021

5. Estimation of total dissolved solids (TDS) using new hybrid machine learning models;Banadkooki;J. Hydrol.,2020

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