Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yoshikuni Sato"'
Autor:
Nobuhiro Hayashi, Yoshihide Sawada, Kei Ujimoto, Syunta Yamaguchi, Yoshikuni Sato, Takahiro Miki, Toru Nakada, Toshiaki Iba
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1967 (2021)
An accuracy of ≥98% was achieved in sepsis diagnosis using serum samples from 30 sepsis patients and 68 healthy individuals and a high-performance two-dimensional polyacrylamide gel electrophoresis (HP-2D-PAGE) method developed here with deep learn
Externí odkaz:
https://doaj.org/article/3b09c884daae4c6c9dbf196ad958398f
Autor:
Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Shunta Yamaguchi, Kei Ujimoto, Nobuhiro Hayashi
Publikováno v:
Applied Sciences, Vol 9, Iss 1, p 128 (2019)
This paper proposes a target vector modification method for the all-transfer deep learning (ATDL) method. Deep neural networks (DNNs) have been used widely in many applications; however, the DNN has been known to be problematic when large amounts of
Externí odkaz:
https://doaj.org/article/489f3cc2dff94c81b4f6141cb78978a4
Publikováno v:
Biomechanisms. 25:81-93
Autor:
Yoshihide Sawada, Toru Nakada, Kei Ujimoto, Yoshikuni Sato, Toshiaki Iba, Syunta Yamaguchi, Takahiro Miki, Nobuhiro Hayashi
Publikováno v:
Applied Sciences, Vol 11, Iss 1967, p 1967 (2021)
Applied Sciences
Volume 11
Issue 4
Applied Sciences
Volume 11
Issue 4
An accuracy of ≥98% was achieved in sepsis diagnosis using serum samples from 30 sepsis patients and 68 healthy individuals and a high-performance two-dimensional polyacrylamide gel electrophoresis (HP-2D-PAGE) method developed here with deep learn
Publikováno v:
EMBC
In this study, we propose a method for estimating lower extremity strength from daily gait movement. Gait movement is affected by sex and gait environment. Therefore, we examined correlation coefficient between lower extremity strength and gait movem
Autor:
Kei Ujimoto, Yoshikuni Sato, Toru Nakada, Nobuhiro Hayashi, Yoshihide Sawada, Shunta Yamaguchi
Publikováno v:
Applied Sciences
Volume 9
Issue 1
Applied Sciences, Vol 9, Iss 1, p 128 (2019)
Volume 9
Issue 1
Applied Sciences, Vol 9, Iss 1, p 128 (2019)
This paper proposes a target vector modification method for the all-transfer deep learning (ATDL) method. Deep neural networks (DNNs) have been used widely in many applications
however, the DNN has been known to be problematic when large amounts
however, the DNN has been known to be problematic when large amounts
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 27:869-875
The learning of evaluation functions from game records has been widely studied in the field of computer game-playing. Conventional learning methods optimize the evaluation function parameters by using the game records of expert players in order to im
Publikováno v:
ICGA Journal. 33:80-92
Recently, Monte-Carlo Tree Search (MCTS) has been attracting a great deal of attention in gameprogramming research. This method has been quite successful in computer Go, but so far results in other games have not been so impressive. In this paper, we
Autor:
Yoshikuni Sato, Kazue Takayanagi
Publikováno v:
Archives in Cancer Research. 3
Background: Oldest old cancer patients without treatment in our long-term-care facility, where laughter therapy is used, lived happily and longer with neither any major complaint nor individual symptoms. We would like to report on these cases. Method
Autor:
Yoshiki Katayama, Masaharu Murata, Mizuo Maeda, Wataru Kaku, Yoshikuni Sato, Takeshi Kano, Takahisa Anada
Publikováno v:
Bioorganic & Medicinal Chemistry Letters. 13:3967-3970
Antisense technology provides an effective strategy to inhibit synthesis of the gene product. We prepared a novel antisense reagent comprised of oligodeoxynucleotides (ODN) and a thermo responsive polymer, poly(N-isopropylacrylamide) (PNIPAAm). The c