Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ryoichi Kojima"'
Autor:
Junya Ohyama, Makoto Moriya, Ryo Takahama, Kazuki Kamoi, Shin Kawashima, Ryoichi Kojima, Teruaki Hayakawa, Yuta Nabae
Publikováno v:
JACS Au, Vol 1, Iss 10, Pp 1798-1804 (2021)
Externí odkaz:
https://doaj.org/article/b563ecbc81924253ae28cf2b884e4af9
Autor:
Ryoichi Kojima
Publikováno v:
Journal of the Japan Society of Naval Architects and Ocean Engineers. 36:111-116
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 25:989-999
Despite the significance of assortativity as a property of networks that paves for the emergence of new structural types, surprisingly, there has been little research done on assortativity. Assortative networks are perhaps among the most prominent ex
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Ryo Takahama, Makoto Moriya, Junya Ohyama, Yuta Nabae, Kazuki Kamoi, Shin Kawashima, Ryoichi Kojima, Teruaki Hayakawa
Publikováno v:
JACS Au
JACS Au, Vol 1, Iss 10, Pp 1798-1804 (2021)
JACS Au, Vol 1, Iss 10, Pp 1798-1804 (2021)
Nonplatinum metal (NPM) catalysts for the oxygen reduction reaction (ORR) in proton exchange membrane fuel cells (PEMFCs) have been developed; however, NPM catalysts still need to be improved in terms of both their catalytic activity and durability.
Autor:
Teruaki Hayakawa, Makoto Moriya, Mariko Okada, Ryo Takahama, Kazuki Kamoi, Ryoichi Kojima, Yuta Nabae, Junya Ohyama, Shin Kawashima
Publikováno v:
The Journal of Physical Chemistry C. 124(No. 38):20730-20735
For the broad application of polymer electrolyte fuel cells (PEFCs), the development of nonprecious-metal (NPM) catalysts for oxygen reduction is extremely important. To date, many NPM catalysts have been synthesized by pyrolyzing Fe-, N-, and C-cont
Classical machine learning and deep neural network ensemble model for GPS-based activity recognition
Publikováno v:
UbiComp/ISWC Adjunct
Our KDDI Research team proposes an ensemble model for the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge using GPS data. During preprocessing, we corrected the GPS dataset that contains errors and missing values using a Kalman sm
Publikováno v:
Human Activity Recognition Challenge ISBN: 9789811582684
We propose a model that combines only simple techniques to meet the challenge of cooking activity recognition. The challenge dataset is basically small, consisting only of four subjects where three are used for training and one for validation. In ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::860488002b5e083113ba0a3a86133aec
https://doi.org/10.1007/978-981-15-8269-1_3
https://doi.org/10.1007/978-981-15-8269-1_3
Autor:
Yuta Nabae, Teruaki Hayakawa, Mariko Okada, Ryoichi Kojima, Shin Kawashima, Junya Ohyama, Kazuki Kamoi, Ryo Takahama, Makoto Moriya
For the globalization of polymer electrolyte fuel cells, the development of non-precious-metal (NPM) catalysts for oxygen reduction is extremely important. To date, many NPM catalysts have been synthesized by pyrolyzing Fe-, N-, and C-containing prec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::214386880efd8ecf755ffd5f7f74eef3
https://doi.org/10.26434/chemrxiv.11973372
https://doi.org/10.26434/chemrxiv.11973372
Autor:
Ryoichi Kojima, Toshiaki Murofushi
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 29:645-650