Zobrazeno 1 - 10
of 928 508
pro vyhledávání: '"Shin IS"'
Autor:
Ryunosuke Oyama, Makoto Endo, Eijiro Shimada, Tomoya Matsunobu, Nokitaka Setsu, Shin Ishihara, Masaya Kanahori, Kengo Kawaguchi, Takeshi Hirose, Akira Nabeshima, Toshifumi Fujiwara, Masato Yoshimoto, Akira Maekawa, Masuo Hanada, Nobuhiko Yokoyama, Yoshihiro Matsumoto, Yasuharu Nakashima
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The coronavirus disease (COVID-19) pandemic negatively affected the diagnosis and treatment of several cancer types. However, this pandemic’s exact impact and extent on bone and soft tissue sarcomas need to be clarified. We aimed to invest
Externí odkaz:
https://doaj.org/article/a095716d02344fe0b59d7615d567fb04
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Uncertainty abounds in the real world, and in environments with multiple layers of unobservable hidden states, decision-making requires resolving uncertainties based on mutual inference. Focusing on a spatial navigation problem, we develop a
Externí odkaz:
https://doaj.org/article/e0e6e2e2e9204f7896cfd2274c616a77
Publikováno v:
Frontiers in Neuroergonomics, Vol 5 (2024)
IntroductionTo understand brain function in natural real-world settings, it is crucial to acquire brain activity data in noisy environments with diverse artifacts. Electroencephalography (EEG), while susceptible to environmental and physiological art
Externí odkaz:
https://doaj.org/article/d8cba904f9cb4b2f87d9ea68f1ce9c93
Publikováno v:
IEEE Access, Vol 12, Pp 151907-151919 (2024)
Recent advancements in deep neural network (DNN) technology are enhancing the utilities of machine learning and meeting potential demands for real-world applications. Deep reinforcement learning (DRL) is a key component in realizing complex decision-
Externí odkaz:
https://doaj.org/article/d9f5c94576194944888428a60a9406e6
Autor:
Junichi Hata, Ken Nakae, Hiromichi Tsukada, Alexander Woodward, Yawara Haga, Mayu Iida, Akiko Uematsu, Fumiko Seki, Noritaka Ichinohe, Rui Gong, Takaaki Kaneko, Daisuke Yoshimaru, Akiya Watakabe, Hiroshi Abe, Toshiki Tani, Hiro Taiyo Hamda, Carlos Enrique Gutierrez, Henrik Skibbe, Masahide Maeda, Frederic Papazian, Kei Hagiya, Noriyuki Kishi, Shin Ishii, Kenji Doya, Tomomi Shimogori, Tetsuo Yamamori, Keiji Tanaka, Hirotaka James Okano, Hideyuki Okano
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-8 (2023)
Abstract Magnetic resonance imaging (MRI) is a non-invasive neuroimaging technique that is useful for identifying normal developmental and aging processes and for data sharing. Marmosets have a relatively shorter life expectancy than other primates,
Externí odkaz:
https://doaj.org/article/4ff1e9e7126345eb9cf463ed37d17748
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S687- (2023)
Externí odkaz:
https://doaj.org/article/abe47611fa4547e4b0f0522703b7e0ec
Autor:
Risa Katayama, Shin Ishii
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S785- (2023)
Externí odkaz:
https://doaj.org/article/15b684585fe84142b5ca3cad098dd873
Autor:
Sho Mitsuhashi, Shin Ishii
Publikováno v:
IEEE Access, Vol 11, Pp 119187-119199 (2023)
Inverse optimal control (IOC) is a problem of estimating a cost function based on the behaviors of an expert that behaves optimally with respect to the cost function. Although the Hamilton-Jacobi-Bellman (HJB) equation for the value function that eva
Externí odkaz:
https://doaj.org/article/55529466b9d24673a102c4a5736d3441
Publikováno v:
IEEE Access, Vol 11, Pp 100798-100809 (2023)
Over the last decade, methods for autonomous control by artificial intelligence have been extensively developed based on deep reinforcement learning (DRL) technologies. However, despite these advances, robustness to noise in observation data remains
Externí odkaz:
https://doaj.org/article/f646c54671da448f9ed62a431b72a8f7
Autor:
Hirofumi Bekki, Yoshihiro Matsumoto, Masato Yoshimoto, Shin Ishihara, Kenichi Kawaguchi, Hidetaka Yamamoto, Yoshinao Oda, Yasuharu Nakashima, Katsumi Harimaya
Publikováno v:
Spine Surgery and Related Research, Vol 7, Iss 1, Pp 36-41 (2023)
Introduction: Tumor size is an important factor in determining the appropriate clinical management of intradural-extramedullary schwannoma. A tumor volume reduction may be achieved by conservative targeted therapy instead of invasive surgery if a mol
Externí odkaz:
https://doaj.org/article/7e72abc5a0c14ea0b3e2309013b46de9