Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data

Author:

Shah Muhammad Izhar,Javed Muhammad Faisal,Alqahtani AbdulazizORCID,Aldrees Ali

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference74 articles.

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

2. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill;Abunama;Environ. Sci. Pollut. Res. - Int.,2019

3. A novel hybrid wavelet-locally weighted linear regression (W-LWLR) model for electrical conductivity (EC) prediction in surface water;Ahmadianfar;J. Contam. Hydrol.,2020

4. Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs);Ahmed;J. King Saud Univ. Eng. Sci.,2017

5. Machine learning methods for better water quality prediction;Ahmed;J. Hydrol.,2019

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