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Benchmarks ConvLSTM against simpler models for one-day-ahead rainfall-field prediction across four Indian cities using IMDAA reanalysis data, finding that ConvLSTM does not consistently outperform alternatives like FC-LSTM or persistence.
This paper presents a GPU-accelerated deep learning framework using ConvLSTM models to predict next-day urban thermal conditions and generate heat risk maps, achieving strong performance (R²=0.8877) on Sarajevo data.