Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Kazuki Koga"'
Autor:
KAZUKI KOGA
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 1, pA360-A375, 16p
Autor:
Kazuki Koga, Kazuhiro Takemoto
Publikováno v:
Algorithms, Vol 15, Iss 5, p 144 (2022)
Universal adversarial attacks, which hinder most deep neural network (DNN) tasks using only a single perturbation called universal adversarial perturbation (UAP), are a realistic security threat to the practical application of a DNN for medical imagi
Externí odkaz:
https://doaj.org/article/4ccae539b7d3428484f312beab794b9b
Autor:
Hitoshi Miyasato, Yoshihiko Raita, Kazuki Koga, Kunitoshi Iseki, Akira Higa, Kentaro Kohagura, Takuhiro Moromizato, Satoru Sugiyama
Publikováno v:
Nihon Toseki Igakkai Zasshi. 56:101-107
Autor:
Kazuki Koga, Takeo Kajishima
Publikováno v:
Journal of Advanced Simulation in Science and Engineering. 10:1-20
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243963 (2020)
Owing the epidemic of the novel coronavirus disease 2019 (COVID-19), chest X-ray computed tomography imaging is being used for effectively screening COVID-19 patients. The development of computer-aided systems based on deep neural networks (DNNs) has
Externí odkaz:
https://doaj.org/article/8af5f031c0564e29981a6a93b387a8dd
Autor:
Soken Hattori, Kiichiro Fujisaki, Yusuke Nakamata, Takuro Kometani, Takafumi Nakashima, Kazuki Koga, Sho Sasaki, Ryosuke Yamate, Takashi Matono, Akihiro Tsuchimoto, Toshiaki Nakano
Publikováno v:
CEN Case Rep
A 50-year-old man was admitted to our hospital with the complaints of fever and general malaise. He had no history of human immunodeficiency virus (HIV) infection or treatment with immunosuppressive agents. We performed renal biopsy to investigate po
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II. 99:1169-1183
Publikováno v:
Journal of the Meteorological Society of Japan; Oct2021, Vol. 99 Issue 5, p1169-1183, 15p
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 12, p e0243963 (2020)
PLoS ONE, Vol 15, Iss 12, p e0243963 (2020)
Under the epidemic of the novel coronavirus disease 2019 (COVID-19), chest X-ray computed tomography imaging is being used for effectively screening COVID-19 patients. The development of computer-aided systems based on deep neural networks (DNNs) has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8cb3c1bd5eb310d9690f096944f826f
http://arxiv.org/abs/2005.11061
http://arxiv.org/abs/2005.11061
Autor:
Kazuki Koga, Takeo Kajishima
Publikováno v:
Journal of Computational Physics. 448:110757
A discontinuity sensor for shock waves and material interfaces is proposed to construct a low dissipative scheme that consists of a weighted compact finite nonlinear scheme (WCNS) and central difference to address compressible multi-component flows.