Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Yasuda, Yuki"'
Autor:
Yasuda, Yuki, Kohyama, Tsubasa
This study has applied information thermodynamics to a bivariate linear stochastic differential equation (SDE) that describes a synchronization phenomenon of sea surface temperatures (SSTs) between the Gulf Stream and the Kuroshio Current, which is r
Externí odkaz:
http://arxiv.org/abs/2408.01133
Autor:
Yasuda, Yuki, Onishi, Ryo
A two-stage super-resolution simulation method is proposed for street-scale air temperature and wind velocity, which considerably reduces the computation time while maintaining accuracy. The first stage employs a convolutional neural network (CNN) to
Externí odkaz:
http://arxiv.org/abs/2404.02631
Autor:
Yasuda, Yuki, Onishi, Ryo
This study proposes a theory of unsupervised super-resolution data assimilation (SRDA) using conditional variational autoencoders (CVAEs). This framework employs an evidence lower bound as the objective function and encompasses the three-dimensional
Externí odkaz:
http://arxiv.org/abs/2308.03351
Atmospheric simulations for urban cities can be computationally intensive because of the need for high spatial resolution, such as a few meters, to accurately represent buildings and streets. Deep learning has recently gained attention across various
Externí odkaz:
http://arxiv.org/abs/2303.16684
Autor:
Yasuda, Yuki, Onishi, Ryo
Deep learning has recently gained attention in the atmospheric and oceanic sciences for its potential to improve the accuracy of numerical simulations or to reduce computational costs. Super-resolution is one such technique for high-resolution infere
Externí odkaz:
http://arxiv.org/abs/2212.03656
Autor:
Yasuda, Yuki, Onishi, Ryo
This paper investigates the super-resolution (SR) of velocity fields in two-dimensional fluids from the viewpoint of rotational equivariance. SR refers to techniques that estimate high-resolution images from those in low resolution and has lately bee
Externí odkaz:
http://arxiv.org/abs/2202.11099
The present paper proposes a super-resolution (SR) model based on a convolutional neural network and applies it to the near-surface temperature in urban areas. The SR model incorporates a skip connection, a channel attention mechanism, and separated
Externí odkaz:
http://arxiv.org/abs/2108.00806
Autor:
Masuda, Takahiko, Yoshimi, Akihiro, Fujieda, Akira, Fujimoto, Hiroyuki, Haba, Hiromitsu, Hara, Hideaki, Hiraki, Takahiro, Kaino, Hiroyuki, Kasamatsu, Yoshitaka, Kitao, Shinji, Konashi, Kenji, Miyamoto, Yuki, Okai, Koichi, Okubo, Sho, Sasao, Noboru, Seto, Makoto, Schumm, Thorsten, Shigekawa, Yudai, Suzuki, Kenta, Stellmer, Simon, Tamasaku, Kenji, Uetake, Satoshi, Watanabe, Makoto, Watanabe, Tsukasa, Yasuda, Yuki, Yamaguchi, Atsushi, Yoda, Yoshitaka, Yokokita, Takuya, Yoshimura, Motohiko, Yoshimura, Koji
Thorium-229 is a unique case in nuclear physics: it presents a metastable first excited state Th-229m, just a few electronvolts above the nuclear ground state. This so-called isomer is accessible by VUV lasers, which allows transferring the amazing p
Externí odkaz:
http://arxiv.org/abs/1902.04823
Akademický článek
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Autor:
Stellmer, Simon, Shigekawa, Yudai, Rosecker, Veronika, Kazakov, Georgy A., Kasamatsu, Yoshitaka, Yasuda, Yuki, Shinohara, Atsushi, Schumm, Thorsten
Publikováno v:
Phys. Rev. C 98, 014317 (2018)
The first excited isomeric state of Th-229 has an exceptionally low energy of only a few eV and could form the gateway to high-precision laser spectroscopy of nuclei. The excitation energy of the isomeric state has been inferred from precision gamma
Externí odkaz:
http://arxiv.org/abs/1805.04929