An advanced deep learning model for predicting water quality index

• 主要な著者: Ehteram M., Ahmed A.N., Sherif M., El-Shafie A.
• その他の著者: 57113510800
• フォーマット: 論文
• 出版事項: Elsevier B.V. 2025
• 主題: 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

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...