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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2019-09-13 16:15 |
Kagoshima | A Prediction of Upper Tropospheric Circulations over the Northern Hemisphere Using ConvLSTM Ekasit Phermphoonphiphat (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.), Masayuki Numao, Ken-ichi Fukui (Osaka Univ.)  AI2019-25 |
[more] | AI2019-25 pp.37-41 |
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| AI | 2018-08-27 10:00 |
Osaka | Climate Forecasting by ConvLSTM on Segmented Region Ekasit Phermphoonphiphat (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.), Masayuki Numao, Ken-ichi Fukui (Osaka Univ.) AI2018-13 |
Recent years, climate forecasting techniques with machine learning have been developing to get high accuracy result. How... [more] | AI2018-13 pp.1-6 |
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| AI | 2018-08-27 10:25 |
Osaka | Study on Physics-guided Learning of Deep Neural Network Junya Tanaka (Osaka Univ), Tomohiko Tomita (Kumamoto Univ), Masayuki Numao, Ken-ichi Fukui (Osaka Univ) AI2018-14 |
Machine learning， especially deep learning, have a disadvantage that learning models become complicated and it becomes d... [more] | AI2018-14 pp.7-12 |
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| AI | 2018-08-27 14:15 |
Osaka | Temporal Variability of Precipitation Events in Fukuoka, Kumamoto, and Kagoshima in Kyusyu Naoki Matsumoto, Kenta Ogino (Kumamoto Univ.), Ken-ichi Fukui (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.) AI2018-20 |
This work quantitatively evaluates the differences in rainfall events in Fukuoka, Kumamoto, and Kagoshima, which are lo... [more] | AI2018-20 pp.39-44 |
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| AI | 2018-08-27 15:00 |
Osaka | A Preliminary Study on Change Point Detection Using Convolutional Neural Network and Visualization of Range of Interests for Weather Time Series Data Sotaro Maehara (Kagoshima Univ.), Ken-ichi Fukui (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.), Satoshi Ono (Kagoshima Univ.) AI2018-21 |
[more] | AI2018-21 pp.45-50 |
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| AI | 2017-11-24 16:20 |
Fukuoka | Sleep Pattern Modelling for Quality Prediction based on Sound Data Hongle Wu, Takafumi Kato, Masayuki Numao, Ken-ichi Fukui (Osaka Univ.) AI2017-17 |
[more] | AI2017-17 pp.61-66 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 16:30 |
Osaka | Facial Image Clustering by Evolutionary Distance Metric Learning Taishi Megano, Satoshi Ono (Kagoshima Univ.), Ken-ichi Fukui (Osaka Univ.), Kohki Ninomiya (Kagoshima Univ.), Masayuki Numao (Osaka Univ.), Shigeru Nakayama (Kagoshima Univ.) PRMU2013-101 MVE2013-42 |
In data mining and machine learning, the definition of distance between two data points substantially affects clustering... [more] | PRMU2013-101 MVE2013-42 pp.119-124 |
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| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Extraction of Damage Patterns of a Fuel Cell by Clustering Considering Co-occurrence between Events Daiki Inaba, Ken-ichi Fukui (Osaka Univ.), Kazuhisa Sato, Junichirou Mizusaki (Tohoku Univ.), Masayuki Numao (Osaka Univ.) IBISML2011-59 |
Solid oxide fuel cell (SOFC) is an efficient generator and researched for practical use. However, one of the problems is... [more] | IBISML2011-59 pp.113-122 |
| AI | 2010-01-22 14:45 |
Tokyo | Visual Data Mining for Damage Evaluation Support for SOFC Ken-ichi Fukui, Shogo Akasaki (Osaka Univ.), Kazuhisa Sato, Junichiro Mizusaki (Tohoku Univ.), Masayuki Numao (Osaka Univ.) AI2009-25 |
SOFC (Solid Oxide Fuel Cell) attracts attention as it is a highly effient power generation sysytem as well as low-pollut... [more] | AI2009-25 pp.37-42 |
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