Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Koichiro Yamauchi"'
Autor:
Yuji Uchiyama, Shunichiroh Sawai, Takuhiro Omi, Koichiro Yamauchi, Kimimasa Tamura, Takuya Sakata, Kiyofumi Nakajima, Hiroyuki Sakai
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285557 (2023)
Driver drowsiness is a widely recognized cause of motor vehicle accidents. Therefore, a reduction in drowsy driving crashes is required. Many studies evaluating the crash risk of drowsy driving and developing drowsiness detection systems, have used o
Externí odkaz:
https://doaj.org/article/16022232aef248c69ae61ab46858bae5
Autor:
Koichiro Yamauchi
Publikováno v:
Evolving Systems. 14:437-460
Publikováno v:
ICPRAM
Publikováno v:
Internal Medicine
Objective The updated guidelines of 2015 for cardiopulmonary resuscitation (CPR) do not recommend the routine use of atropine for cardiopulmonary arrest. Methods The study population included out-of-hospital cardiac arrest (OHCA) patients with non-sh
Autor:
Koichiro Yamauchi
Publikováno v:
Recent Developments in Photovoltaic Materials and Devices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f746599ca26e3c5aea19f1fdc60bfb99
http://www.intechopen.com/articles/show/title/a-quick-maximum-power-point-tracking-method-using-an-embedded-learning-algorithm-for-photovoltaics-o
http://www.intechopen.com/articles/show/title/a-quick-maximum-power-point-tracking-method-using-an-embedded-learning-algorithm-for-photovoltaics-o
Autor:
Koichiro Yamauchi, Ashwin Devanga
Publikováno v:
ICPRAM
Recent large-scale neural networks show a high performance to complex recognition tasks but to get such ability, it needs a huge number of learning samples and iterations to optimize it’s internal parameters. However, under unknown environments, le
Autor:
Koichiro Yamauchi, Taiki Watanabe
Publikováno v:
Neural Information Processing ISBN: 9783030367107
ICONIP (2)
ICONIP (2)
Although the CPU power of recent embedded systems has increased, their storage space is still limited. To overcome this limitation, most embedded devices are connected to a cloud server so they can outsource heavy calculations. However, some applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10c3bf1840e5502a59d9ed1687974636
https://doi.org/10.1007/978-3-030-36711-4_31
https://doi.org/10.1007/978-3-030-36711-4_31
Autor:
Masaharu Yamamoto, Koichiro Yamauchi
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation ISBN: 9783030304867
ICANN (1)
ICANN (1)
Recent developments in the field of artificial intelligence have increased the demand for high performance computation devices. An edge device is highly restricted not only in terms of its computational power but also memory capacity. This study prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d686eaa1b7a45ba78babb3b23840528
https://doi.org/10.1007/978-3-030-30487-4_18
https://doi.org/10.1007/978-3-030-30487-4_18
Publikováno v:
International Journal of Hybrid Intelligent Systems. 13:63-76
Artificial intelligence systems are frequently used to solve various problems in our daily lives. However, these systems require problem-specific big data to facilitate their learning processes. Unfortunately, for unknown environments, there are no p