GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment

In three linesGPU-accelerated deep learning framework for next-day urban thermal prediction and heatwave risk assessment. ConvLSTM with mixed loss function achieves MAE=0.2293, RMSE=0.3089, R²=0.8877 using MODIS and Open-Meteo data in Sarajevo. Generates city heat risk maps.

Summary generated by Claude — human-verified