IEICE Technical Report

Online edition: ISSN 2432-6380

Volume 118, Number 197

Artificial Intelligence and Knowledge-Based Processing

Workshop Date : 2018-08-27 / Issue Date : 2018-08-20

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Table of contents

AI2018-13
Climate Forecasting by ConvLSTM on Segmented Region
Ekasit Phermphoonphiphat (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.), Masayuki Numao, Ken-ichi Fukui (Osaka Univ.)
pp. 1 - 6

AI2018-14
Study on Physics-guided Learning of Deep Neural Network
Junya Tanaka (Osaka Univ), Tomohiko Tomita (Kumamoto Univ), Masayuki Numao, Ken-ichi Fukui (Osaka Univ)
pp. 7 - 12

AI2018-15
Development of tropical-cyclone detection method using machine learning
Takuro Kanasaki, Hironori Fudeyasu, Koki Kase (YNU), Daisuke Matsuoka (JAMSTEC), Ryuji Yoshida (RIKEN)
pp. 13 - 18

AI2018-16
Detection of Precursors of Tropical Cyclone from Cloud-Resolving Atmospheric Simulation Data using Deep Learning
Daisuke Matsuoka, Masuo Nakano, Daisuke Sugiyama (JAMSTEC), Seiichi Uchida (Kyushu Univ.)
pp. 19 - 20

AI2018-17

Shigeki Hosoda (JAMSTEC)
pp. 21 - 25

AI2018-18
Learning ARGO Profiles by using the Signature Method
Nozomi Sugiura, Shigeki Hosoda (JAMSTEC)
pp. 27 - 32

AI2018-19
(See Japanese page.)
pp. 33 - 38

AI2018-20
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.)
pp. 39 - 44

AI2018-21
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.)
pp. 45 - 50

AI2018-22

Shin'ichiro Kako, Ayato Udo, Shohei Morita, Tetusya Taneda (Kagoshima Univ.)
pp. 51 - 54

AI2018-23
Bayesian Inference for Field of Physical Quantity from Data obtained at several Locations
Masato Ota, Takeshi Okadome (KG Univ.)
pp. 55 - 60

AI2018-24
Abandoned Farmland Mapping Using Satellite Data and Machine Learning, and Abandonment Probability Modeling by Field and Geographical Factors
Yohei Yamaguchi, Takashi Machimura, Takanori Matsui (Osaka Univ.)
pp. 61 - 66

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan