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Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI) (Searched in: 2019)
Search Results: Keywords 'from:2019-09-13 to:2019-09-13'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2019-09-13 13:30 |
Kagoshima | Collaboration of Meteorology and Artificial Intelligence Tsuyoshi Sekiyama (MRI)  AI2019-19 |
(To be available after the conference date) [more] | AI2019-19 pp.1-6 |
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| AI | 2019-09-13 13:55 |
Kagoshima | Development of Complex Image Stacking Tool for Machine Learning and Cloud Satellite Data Platforms Yoshinobu Sasaki, Keishiroh Nakamoto, Kei Oyoshi (JAXA) AI2019-20 |
Recently, satellite data businesses and data platforms with large-capacity storage and high-computing power have attrac... [more] |
AI2019-20 pp.7-12 |
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| AI | 2019-09-13 14:20 |
Kagoshima | The Reconfiguration of Recognition by Satellite Earth Observation Data
-- From Vegetation Condition Index to Digital Linguistics -- Kumon Tokumaru (Writer) AI2019-21 |
The author designed, constructed and operated an oceanic environment observation system using earth observation satellit... [more] | AI2019-21 pp.13-18 |
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| AI | 2019-09-13 14:45 |
Kagoshima | Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera Tomofumi Kitamura, Kenji Kobayashi (JMA), Yoshinori Mizuno (MRI), Masato Mori, Shinichi Miyatake, Kazuyuki Shibuya (JMA) AI2019-22 |
We have been developing a snow depth estimation algorithm using an observation environment monitoring camera that will b... [more] | AI2019-22 pp.19-24 |
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| AI | 2019-09-13 15:25 |
Kagoshima | Rainfall prediction with LSTM Ryo Kaneko, Makoto Nakayoshi (TUS) AI2019-23 |
(To be available after the conference date) [more] | AI2019-23 pp.25-29 |
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| AI | 2019-09-13 15:50 |
Kagoshima | AI2019-24 |
SSTs are essential information for ocean-related industries but are hard to measure. Although multi-spectral imaging sen... [more] | AI2019-24 pp.31-36 |
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| 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 | 2019-09-14 09:30 |
Kagoshima | Prediction of water level in Kinu River using recurrent neural networks Takehiko Ito, Ryo Kaneko, Tomoya Kataoka, Shiho Onomura, Yasuo Nihei (TUS) AI2019-26 |
Improving the accuracy of flood prediction in rivers is an urgent task as a countermeasure against heavy rain disasters ... [more] | AI2019-26 pp.43-44 |
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| AI | 2019-09-14 09:55 |
Kagoshima | Fishing Spot Estimation by Using Sea Temperature Pattern Takumi Shimura, Motoharu Sonogashira, Hidekazu Kasahara, Masaaki Iiyama (Kyoto Univ.) AI2019-27 |
(To be available after the conference date) [more] | AI2019-27 pp.45-49 |
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| AI | 2019-09-14 10:20 |
Kagoshima | Estimation of the marine debris abundance using drone observation data Shohei Morita, Tetsuya Taneda, Shin'ichiro Kako (Kagoshima Univ.) AI2019-28 |
(To be available after the conference date) [more] | AI2019-28 pp.51-54 |
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| AI | 2019-09-14 10:45 |
Kagoshima | Patient simulator for medical education: the current status and future prospects Ryota Shibusawa (DIT) AI2019-29 |
Currently, patient simulators are used in all over the world for medical education. They mimic the anatomy and the sympt... [more] | AI2019-29 pp.55-60 |
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