MODELLING FLUCTUATIONS OF GROUNDWATER LEVEL USING MACHINE LEARNING ALGORITHMS IN THE SOKOTO BASIN
Groundwater level forecasting is essential for the sustainable management of water resources, especially water scarce regions such as the Sokoto Basin. This study investigates the application of machine learning models, specifically Long Short-Term Memory (LSTM), eXtreme Gradient Boosting (XGBoost)a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nigerian Defence Academy
2025-05-01
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| Series: | Academy Journal of Science and Engineering |
| Online Access: | https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/444 |
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