Zobrazeno 1 - 10 of 139 pro vyhledávání: '"Yuichiro Anzai"'
1
Prevalence of Asymptomatic SARS-CoV-2 Infection in Japan
Autor: Toru Suzuki, Kenichi Aizawa, Kenji Shibuya, Shinya Yamanaka, Yuichiro Anzai, Kiyoshi Kurokawa, Ryozo Nagai
Publikováno v: JAMA network open. 5(12)
ImportanceReal-world evidence of SARS-CoV-2 transmission is needed to understand the prevalence of infection in the Japanese population.ObjectiveTo conduct sentinel screening of the Japanese population to determine the prevalence of SARS-CoV-2 infect
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b77cf77603fdf4381f41fd96f1e977e2
https://pubmed.ncbi.nlm.nih.gov/36574249
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2
Brain Informatics-Based Big Data and the Wisdom Web of Things
Autor: Kazuhiro Oiwa, Bin Hu, Jianhua Ma, Marcel Adam Just, Stephen S. Yau, Shinsuke Shimojo, Ning Zhong, Guoyin Wang, Yuichiro Anzai
Publikováno v: IEEE Intelligent Systems. 30:2-7
The authors summarize the main aspects of brain informatics based big data interacting in the social-cyber-physical space of the Wisdom Web of Things (W2T). In particular, they focus on how to realize human-level collective intelligence as a big data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::485955d1429eec3f7e1674c996b36b15
https://doi.org/10.1109/mis.2015.83
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4
Brain Big Data in Wisdom Web of Things
Autor: Guoyin Wang, Marcel Adam Just, Yuichiro Anzai, Stephen S. Yau, Kazuhiro Oiwa, Shinsuke Shimojo, Bin Hu, Jianhua Ma, Ning Zhong
Publikováno v: Wisdom Web of Things ISBN: 9783319441962
Semantic Web Technologies for Intelligent Engineering Applications
The chapter summarizes main aspects of brain informatics based big data interacting with a social-cyber-physical space of Wisdom Web of Things (W2T). It describes how to realize human-level collective intelligence as a big data sharing mind—a harmo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d827079b9770c154ef606f59b1a956c3
https://doi.org/10.1007/978-3-319-44198-6_15
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5
Modeling of Communication Robot's Deictic Interaction Referring to Regions
Autor: Yasuhiko Hato, Norihiro Hagita, Michita Imai, Satoru Satake, Takayuki Kanda, Yuichiro Anzai
Publikováno v: Journal of the Robotics Society of Japan. 29:532-543
In daily conversation, we sometimes observe a deictic interaction scene that refers to a region in a space, such as saying “please put it over there” with pointing. How can such an interaction be possible with a robot? Is it enough to simulate pe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::714a5391e59983316cf422eda72fb613
https://doi.org/10.7210/jrsj.29.532
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6
How Quickly Should Communication Robots Respond?
Autor: Yuichiro Anzai, Toshiyuki Shiwa, Norihiro Hagita, Michita Imai, Takayuki Kanda, Hiroshi Ishiguro
Publikováno v: Journal of the Robotics Society of Japan. 27:87-95
This paper reports a study about system response time (SRT) in communication robots that utilize human-like social features, such as anthropomorphic appearance and conversation in natural language. Our research purpose established a design guideline
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::790d27512c054c2cbb759086f317b498
https://doi.org/10.7210/jrsj.27.87
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7
Context-Aware Users' Preference Models by Integrating Real and Supposed Situation Data
Autor: Chihiro Ono, Michita Imai, Yasuhide Shinagawa, Yasuhiro Takishima, Yoichi Motomura, Yuichiro Anzai, Hideki Asoh
Publikováno v: IEICE Transactions on Information and Systems. :2552-2559
This paper proposes a novel approach of constructing statistical preference models for context-aware personalized applications such as recommender systems. In constructing context-aware statistical preference models, one of the most important but dif
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48b82307327af9f69875e3123b14cea4
https://doi.org/10.1093/ietisy/e91-d.11.2552
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