Holdings: An advanced deep learning model for predicting water quality index

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 M., Ahmed A.N., Sherif M., El-Shafie A.
Other Authors:	57113510800
Format:	Article
Published:	Elsevier B.V. 2025
Subjects:	Malaysia Analysis of variance (ANOVA) Convolutional neural networks Learning systems Quality assurance Recurrent neural networks Water management Water quality Convolutional neural network Deep learning model General linear model analysis Health and safety Hybrid model Learning models Water quality indexes Water quality parameters Water resources management Waterbodies error analysis index method machine learning parameterization variance analysis water management water quality water resource Forecasting
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An advanced deep learning model for predicting water quality index

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