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An advanced deep learning model for predicting water quality index

Predicting a water quality index (WQI) is important because it serves as an important metric for assessing the overall health and safety of water bodies. Our paper develops a new hybrid model for predicting the WQI. The study uses a combination of a convolutional neural network (CNN), clockwork recu...

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Bibliographic Details
Main Authors:	Ehteram, Mohammad, Ahmed, Ali Najah, Sherif, Mohsen, El-Shafie, Ahmed
Format:	Article
Published:	Elsevier 2024
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/45544/ https://doi.org/10.1016/j.ecolind.2024.111806
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