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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/2663/ https://doi.org/10.1016/j.ecolind.2024.111806 |
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