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Arti Cial Intelligence For Groundwater Recharge Prediction in An Arid Region Application of Tabular Deep Learning Models in The Feija Basin Morocco by Abdellah Lemfarrak is a document available to read on EtoBox.
What is Arti Cial Intelligence For Groundwater Recharge Prediction in An Arid Region Application of Tabular Deep Learning Models in The Feija Basin Morocco about?
This research presents a GeoAI-based framework utilizing tabular deep learning models to predict groundwater recharge zones in the Feija Basin, Morocco, an area facing significant groundwater depletion due to over-extraction and irregular rainfall. The study found that the TabNet model achieved the highest accuracy of 97.8%, providing actionable insights for sustainable water resource management. The results underscore the potential of advanced AI techniques in enhancing groundwater recharge mapping and inf
- Author
- Abdellah Lemfarrak
- Language
- EN