most citedCapabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM

63 citations · 76 across the 4 of their papers we have counts for

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cs.LG2021★ 1 cited

Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling

Takeyoshi Nagasato, Kei Ishida, Ali Ercan +4

Deep learning has been utilized for the statistical downscaling of climate data. Specifically, a two-dimensional (2D) convolutional neural network (CNN) has been successfully appli…

cs.LG2021★ 3 cited

Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling

Kei Ishida, Ali Ercan, Takeyoshi Nagasato +2

An architecture consisting of a serial coupling of the one-dimensional convolutional neural network (1D-CNN) and the long short-term memory (LSTM) network, which is referred as CNN…