An advanced deep learning model for predicting water quality index

• 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

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...