Kazy Noor-e-Alam Siddiquee

Advanced machine learning techniques for daily streamflow forecasting: a case study of the Brahmaputra River

Accurate multi-day streamflow forecasts support flood preparedness, but single holdout scores can conceal lead-time dependence, temporal instability, baseline skill, and uncertainty. This study compares Long Short-Term Memory, Random Forest, Multiple Linear Regression, Multi-Laye...