Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yokoo, Kazuki"'
Autor:
Nagasato, Takeyoshi, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Kiyama, Masato, Amagasaki, Motoki, Yokoo, Kazuki
Deep learning has been utilized for the statistical downscaling of climate data. Specifically, a two-dimensional (2D) convolutional neural network (CNN) has been successfully applied to precipitation estimation. This study implements a three-dimensio
Externí odkaz:
http://arxiv.org/abs/2112.06571
Autor:
Yokoo, Kazuki, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Nagasato, Takeyoshi, Kiyama, Masato, Amagasaki, Motoki
This study investigates the relationships which deep learning methods can identify between the input and output data. As a case study, rainfall-runoff modeling in a snow-dominated watershed by means of a long- and short-term memory (LSTM) network is
Externí odkaz:
http://arxiv.org/abs/2106.07963
Autor:
Yokoo, Kazuki, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Nagasato, Takeyoshi, Kiyama, Masato, Amagasaki, Motoki
Publikováno v:
In Science of the Total Environment 1 January 2022 802
Publikováno v:
In Biochemical and Biophysical Research Communications 2 September 2017 490(4):1307-1313
Publikováno v:
In Biochemical and Biophysical Research Communications 28 October 2016 479(4):853-859