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Talgat Usmanov

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Open access Sep 2026

Machine Learning Classification of Elevated Discharge in the Koksu River Basin, Kazakhstan: Benchmarking Against Persistence and Illustrative DEM-Based Inundation Scenarios

In data-sparse Central Asian watersheds, machine learning and Geographic Information Systems (GIS) are increasingly applied to hydrological hazard classification. This article compares Random Forest (RF), XGBoost, and Long Short-Term Memory (LSTM) models for daily elevated-discharge classification in the Koksu River ba...

S. Kulbekova, Abzal Kalygulov, R. Arystanova et al. · 0 citations

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