Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Takuto Sato"'
Autor:
Siripat Chaichit, Takuto Sato, Huiqing Yu, Yu-ki Tanaka, Yasumitsu Ogra, Takamasa Mizoguchi, Motoyuki Itoh
Publikováno v:
Pharmaceuticals, Vol 14, Iss 6, p 536 (2021)
Glucocorticoid-induced osteoporosis (GIOP) is a major cause of secondary osteoporosis, and the pathogenic mechanisms of GIOP remain to be elucidated. Here, we show a rapid dexamethasone-induced osteoporosis animal model using zebrafish scales. Intrap
Externí odkaz:
https://doaj.org/article/9dc3ae2e8872459caf1a147e3e842a85
Autor:
Hiroki Ohashi, Mohammad Al-Naser, Sheraz Ahmed, Katsuyuki Nakamura, Takuto Sato, Andreas Dengel
Publikováno v:
Sensors, Vol 18, Iss 8, p 2485 (2018)
This paper presents a simple yet effective method for improving the performance of zero-shot learning (ZSL). ZSL classifies instances of unseen classes, from which no training data is available, by utilizing the attributes of the classes. Conventiona
Externí odkaz:
https://doaj.org/article/332e1283f5c94624b413e54f3cf91e87
Autor:
TAKUTO SATO1, HIROYUKI KUSAKA1 kusaka@ccs.tsukuba.ac.jp
Publikováno v:
Journal of Applied Meteorology & Climatology. Dec2023, Vol. 62 Issue 12, p1783-1801. 19p.
Autor:
Takuto Sato1, Hiroyuki Kusaka1 kusaka@ccs.tsukuba.ac.jp
Publikováno v:
SOLA. 2023, Vol. 19, p165-172. 8p.
Publikováno v:
Geoscientific Model Development. 16:2215-2233
Dramatic increases in climate data underlie a gradual paradigm shift in knowledge acquisition methods from physically based models to data-based mining approaches. One of the most popular data clustering/mining techniques is k-means, and it has been
Autor:
Hiromichi Hashizume, Takuto Sato, Masanori Sugimoto, Shota Shimada, Hiroaki Murakami, Hiroki Watanabe
Publikováno v:
IEEE Sensors Journal. 22:4989-5000
In this paper, we describe a visible-light positioning system that uses the ambient-light sensor assembly in a smartphone as a receiver for illumination signals from LED-based room lighting. After correcting for missing or inconsistently sampled data
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II. 100:597-615
Dramatic increases in climate data underlie a gradual paradigm shift in knowledge-acquisition methods from physical-based models to data-based mining techniques. k-Means is one of the most popular data clustering/mining techniques, and it has been us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::784151e71ee232770737c4b3f67761c9
https://doi.org/10.5194/gmd-2022-172
https://doi.org/10.5194/gmd-2022-172
Publikováno v:
SOLA. 2020, Vol. 16, p104-108. 5p.