Multi-Time-Scale Input Approaches for Hourly-Scale Rainfall-Runoff Modeling based on Recurrent Neural Networks. - Kei Ishida; Masato Kiyama; Ali Ercan; Motoki Amagasaki; Tongbi Tu; Makoto Ueda (CoRR, 2021)

Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM. - Kazuki Yokoo; Kei Ishida; Ali Ercan; Tongbi Tu; Takeyoshi Nagasato; Masato Kiyama; Motoki Amagasaki (CoRR, 2021)

Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling. - Kei Ishida; Ali Ercan; Takeyoshi Nagasato; Masato Kiyama; Motoki Amagasaki (CoRR, 2021)

Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling. - Takeyoshi Nagasato; Kei Ishida; Ali Ercan; Tongbi Tu; Masato Kiyama; Motoki Amagasaki; Kazuki Yokoo (CoRR, 2021)