Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yoh-ichi Mototake"'
Publikováno v:
IEEE Access, Vol 12, Pp 24621-24630 (2024)
This study delves into the domain of dynamical systems, specifically the forecasting of dynamical time series defined through an evolution function. Traditional approaches in this area predict the future behavior of dynamical systems by inferring the
Externí odkaz:
https://doaj.org/article/be1f1b42e6954cbc97b3361154458c10
Autor:
Hiroyuki Kumazoe, Kazunori Iwamitsu, Masaki Imamura, Kazutoshi Takahashi, Yoh-ichi Mototake, Masato Okada, Ichiro Akai
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract We analyzed the X-ray photoelectron spectra (XPS) of carbon 1s states in graphene and oxygen-intercalated graphene grown on SiC(0001) using Bayesian spectroscopy. To realize highly accurate spectral decomposition of the XPS spectra, we propo
Externí odkaz:
https://doaj.org/article/7853873df025418889420738ebf3f84f
Autor:
Junya Sakurai, Masahiko Demura, Yoh-ichi Mototake, Masato Okada, Masayoshi Yamazaki, Junya Inoue
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 1, Iss 1, Pp 98-108 (2021)
The alloying elements that control the creep rupture life of low carbon steel in the region of inherent creep strength were investigated by a data-driven model selection method. The experimental data published in NRIM Creep Data Sheet No. 7B was used
Externí odkaz:
https://doaj.org/article/e57edbedbab84ee797bfb4104421a7b4
Publikováno v:
Science and Technology of Advanced Materials, Vol 21, Iss 1, Pp 219-228 (2020)
There are two types of creep constitutive equation, one with a steady-state term (steady-state type) and the other with no steady-state term (non-steady-state type). We applied the Bayesian inference framework in order to examine which type is suppor
Externí odkaz:
https://doaj.org/article/b52506896e144c9187f54b5cd532d1ab
Autor:
Hiroshi Shinotsuka, Kenji Nagata, Hideki Yoshikawa, Yoh-Ichi Mototake, Hayaru Shouno, Masato Okada
Publikováno v:
Science and Technology of Advanced Materials, Vol 21, Iss 1, Pp 402-419 (2020)
We develop an automatic peak fitting algorithm using the Bayesian information criterion (BIC) fitting method with confidence-interval estimation in spectral decomposition. First, spectral decomposition is carried out by adopting the Bayesian exchange
Externí odkaz:
https://doaj.org/article/ea9b8e16c46540288afcdcdaf6d18b3d
Autor:
Takayuki Niizato, Kotaro Sakamoto, Yoh-Ichi Mototake, Hisashi Murakami, Takenori Tomaru, Tomotaro Hoshika, Toshiki Fukushima
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0229573 (2020)
Collective behaviours are known to be the result of diverse dynamics and are sometimes likened to living systems. Although many studies have revealed the dynamics of various collective behaviours, their main focus has been on the information processi
Externí odkaz:
https://doaj.org/article/6c837da615ff49af8687b963699abfdd
Autor:
Takayuki Niizato, Kotaro Sakamoto, Yoh-ichi Mototake, Hisashi Murakami, Takenori Tomaru, Tomotaro Hoshika, Toshiki Fukushima
Publikováno v:
Entropy, Vol 22, Iss 7, p 726 (2020)
Integrated information theory (IIT) was initially proposed to describe human consciousness in terms of intrinsic-causal brain network structures. Particularly, IIT 3.0 targets the system’s cause–effect structure from spatio-temporal grain and rev
Externí odkaz:
https://doaj.org/article/86edfaba6f7643a0bc38ce3526cacfb0
Publikováno v:
Journal of Computational Neuroscience. 49:251-257
Feed-forward deep neural networks have better performance in object categorization tasks than other models of computer vision. To understand the relationship between feed-forward deep networks and the primate brain, we investigated representations of
Autor:
Masahiko Demura, Junya Inoue, Masayoshi Yamazaki, Junya Sakurai, Masato Okada, Yoh-ichi Mototake
Publikováno v:
Science and Technology of Advanced Materials: Methods. 1:98-108
The alloying elements that control the creep rupture life of low carbon steel in the region of inherent creep strength were investigated by a data-driven model selection method. The experimental da...
Publikováno v:
Journal of Smart Processing. 10:108-119