Zobrazeno 1 - 10 of 369 pro vyhledávání: '"Koji KOYAMADA"'
1
Akademický článek
Development of a system for efficient content-based retrieval to analyze large volumes of climate data
Autor: Yujin Nakagawa, Yosuke Onoue, Shitnaro Kawahara, Fumiaki Araki, Koji Koyamada, Daisuke Matsuoka, Yoichi Ishikawa, Mikiko Fujita, Shiori Sugimoto, Yasuko Okada, Sho Kawazoe, Shingo Watanabe, Masayoshi Ishii, Ryo Mizuta, Akihiko Murata, Hiroaki Kawase
Publikováno v: Progress in Earth and Planetary Science, Vol 7, Iss 1, Pp 1-10 (2020)
Abstract Analyses of large ensemble data on future climate are significantly useful for the probabilistic future projection of climate change in various interdisciplinary fields. However, the data volume of the Database for Policy Decision making for
Externí odkaz: https://doaj.org/article/f1baf803e80e466faaead6625f11403b
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2
Akademický článek
Exploration behavior of group-in-a-box layouts
Autor: Yuki Ueno, Hiroaki Natsukawa, Nozomi Aoyama, Koji Koyamada
Publikováno v: Visual Informatics, Vol 3, Iss 1, Pp 38-47 (2019)
To improve visualization, it is necessary to optimize the design by analyzing the behavior of users as well as improving the evaluation index of the computational experiment and the task performance (e.g., the correct answer rate and completion time)
Externí odkaz: https://doaj.org/article/850b45cebca9481891463d694558122e
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3
Akademický článek
A visual analytics system to support the formation of a hypothesis from calcium wave data
Autor: Kozen Umezawa, Hiroaki Natsukawa, Yosuke Onoue, Koji Koyamada
Publikováno v: Visual Informatics, Vol 2, Iss 1, Pp 2-13 (2018)
In most species, calcium waves in the oocyte are considered common phenomena in the activation of eggs. However, the mechanism of calcium waves has not yet been clarified. By collaborating with biologists studying Caenorhabditis elegans (C. elegans),
Externí odkaz: https://doaj.org/article/d47f1d05111c4553aff516e6cc3b195c
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5
A Visual Analytics Approach for Ecosystem Dynamics based on Empirical Dynamic Modeling
Autor: Hiroaki Natsukawa, Koji Koyamada, Ethan R. Deyle, Gerald M. Pao, George Sugihara
Publikováno v: IEEE Transactions on Visualization and Computer Graphics. 27(2):506-516
An important approach for scientific inquiry across many disciplines involves using observational time series data to understand the relationships between key variables to gain mechanistic insights into the underlying rules that govern the given syst
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caeb9feb615e92f8711dbeb804604d81
http://hdl.handle.net/2433/261263
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9
Visual extraction system for insulators on power transmission lines from UAV photographs using support vector machine and color models
Autor: Ting Wang, Chi Zhang, Koji Koyamada, Qing-wu Gong
Publikováno v: Journal of Visualization. 23:1101-1112
In this paper, a system is proposed for extracting insulators on power transmission lines from photographs captured by an unmanned aerial vehicle. The approximate regions of the insulators are first determined by a support vector machine with the his
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82112cddf1ec31b0f720efbd91a1cae1
https://doi.org/10.1007/s12650-020-00672-9
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10
Visual analytics and prediction system based on deep belief networks for icing monitoring data of overhead power transmission lines
Autor: Chi Zhang, Qing-wu Gong, Koji Koyamada
Publikováno v: Journal of Visualization. 23:1087-1100
In this paper, a system is proposed for visualizing and analyzing icing monitoring data of power transmission lines. The distributions of temperature and humidity are visualized by two-dimensional maps with customizable map layers. The multi-dimensio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::571e513885a0dbb1c288957d9fbb70a5
https://doi.org/10.1007/s12650-020-00670-x
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