Erfan Abdi

Uncertainty Estimation in Predicting River Discharge Using Probabilistic Machine Learning and Conformal Prediction

Reliable streamflow forecasting with quantified uncertainty is essential for water resource management, flood mitigation, and climate adaptation in semi-arid regions. This research introduces a framework that combines three conformal prediction techniques, including Split Conformal Prediction (SplitCP), Cross Validatio...

A novel SVMD-CNN-LSTM hybrid model for spatiotemporal groundwater quality index prediction in the ecologically sensitive Eastern Lake Urmia Region