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Author

Halit Apaydın

2 papers indexed here

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Open access Sep 2026

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...

Erfan Abdi, MohammadTaghi Sattari, Mahesh Pal et al. · 0 citations
Sep 2026

Deep Learning-Based Multi-Step Ahead Streamflow Forecasting under RCP 4.5 and 8.5 Scenarios

The results demonstrate that deep learning models, particularly when enriched with spatially interpolated inputs and land cover variability, significantly enhance forecasting accuracy and provide valuable projections for future water availability but also informs sustainable water management strategies in climate-sensi...

Ayse Ozer, A. Shahbazi, Halit Apaydın · 0 citations

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