Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Yasushi Sakurai"'
Autor:
Chie Nagata, Masahiro Hata, Yuki Miyazaki, Hirotada Masuda, Tamiki Wada, Tasuku Kimura, Makoto Fujii, Yasushi Sakurai, Yasuko Matsubara, Kiyoshi Yoshida, Shigeru Miyagawa, Manabu Ikeda, Takayoshi Ueno
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Associations between delirium and postoperative adverse events in cardiovascular surgery have been reported and the preoperative identification of high-risk patients of delirium is needed to implement focused interventions. We aimed to devel
Externí odkaz:
https://doaj.org/article/56d527d90f1c4db7be0a34d9ab4f1ffa
Autor:
Chie Nagata, Masahiro Hata, Yuki Miyazaki, Hirotada Masuda, Tamiki Wada, Tasuku Kimura, Makoto Fujii, Yasushi Sakurai, Yasuko Matsubara, Kiyoshi Yoshida, Shigeru Miyagawa, Manabu Ikeda, Takayoshi Ueno
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/c53974446fc142769a828dd4be5be7a8
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Given a huge, online stream of time-evolving events with multiple attributes, such as online shopping logs: (item, price, brand, time), and local mobility activities: (pick-up and drop-off locations, time), how can we summarize large, dynamic high-or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3fd69618208d0dbbcf1609f36fa195e
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
World Wide Web. 26:635-636
Large quantifies of online user activity data, such as weekly web search volumes, which co-evolve with the mutual influence of several queries and locations, serve as an important social sensor. It is an important task to accurately forecast the futu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a646366171489af7acf2a4b46e345a8c
Publikováno v:
Journal of Information Processing. 28:333-342
Autor:
Zheng Zhang, Hayate Sato, Yasuko Matsubar, Aiji Suetake, Naoki Wakasugi, Chuantong Chen, Yasushi Sakurai, Katsuaki Suganuma
Publikováno v:
ECS Meeting Abstracts. :1356-1356
Acoustic emission (AE) based condition monitoring is a popular method to inspect a material health condition in many areas[1]. It monitors irreversible structure changes of material through radiation of acoustic waves. Typically, the structure change