Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Satoshi Oyama"'
Autor:
Soowon Lim, Taketoshi Koita, Manabu Inutsuka, Satoshi Oyama, Masataka Kondo, Chiharu Tokoro, Takao Namihira
Publikováno v:
IEEE Transactions on Plasma Science. 49:3860-3872
Autor:
Hideaki Ikoma, Yoshio Tamaki, Kenji Yasue, Satoshi Oyama, Hiraku Fuse, Tatsuya Fujisaki, Koichi Hanada, Kazuya Shinoda
Publikováno v:
Journal of Radiation Research
This study aimed to quantitatively clarify the baseline drift for each respiratory cycle in two respiratory-gating methods using the intra-beam respiratory motion data of lung cancer patients. The residual motion and dose distribution were calculated
Publikováno v:
PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f95a86d7e74badb1c3a8389a5b42ba8
https://doi.org/10.1007/978-3-031-21203-1_12
https://doi.org/10.1007/978-3-031-21203-1_12
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
This study approaches federated learning (FL) from the viewpoint of coalitional games with coalition structure generation (CSG). In conventional FL, even if each client has data from a different distribution, they still learn a single global model. H
Publikováno v:
Quantum Machine Intelligence. 4
We investigated the potential application of quantum computing using the Kronecker kernel to pairwise classification and have devised a way to apply the Harrow-Hassidim-Lloyd (HHL)-based quantum support vector machine algorithm. Pairwise classificati
Publikováno v:
SCIS/ISIS
Deep generative models are being actively studied, particularly variational autoencoders (VAEs) because they can generate high-quality images. The M2 model supports semi-supervised learning from both labeled and unlabeled data, which enables the gene
Publikováno v:
IEICE transactions on information and systems. (8):1833-1842
Link prediction, the computational problem of determining whether there is a link between two objects, is important in machine learning and data mining. Feature-based link prediction, in which the feature vectors of the two objects are given, is of p
Publikováno v:
Journal of Radiation Research
In this study, we propose a methodology for temperature determination of the temperature and pressure correction factor, PTP, by analyzing the temperature distribution of the modeled ionization chamber taking into account the thermal effect of a wate
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 24:142-155
Open data are becoming increasingly available in various domains, and many organizations rely on making decisions according to data. Such decision making requires care to distinguish between correlations and causal relationships. Among data analysis
Publikováno v:
Expert Systems with Applications. 131:1-8
Ratings by users on various items such as products and services have become easily available on the Web. Also available in many cases, in addition to an overall rating for each item by each user, are multicriteria ratings from different viewpoints. O