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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
WIT |
2023-06-17 15:20 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Improved Visual Intentions Estimation Model Using Depth Information and Object Detection Sho Higa, Masakiyo Okuhama, Koji Yamada (Ryukyu Univ.), Shihoko Kamisato (NIT,Okinawa College) WIT2023-17 |
In this study, we propose an improved visual intention estimation model based on object detection to distinguish eye and... [more] |
WIT2023-17 pp.76-77 |
CNR, BioX |
2023-03-02 11:30 |
Oita |
(Primary: On-site, Secondary: Online) |
A Study on Single Modal Ear Acoustic Personal Authentication System Sora Takagi (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2022-73 CNR2022-39 |
Biometric authentication requires the provision of the user's personal biometric information.Currently, the mainstream b... [more] |
BioX2022-73 CNR2022-39 pp.65-68 |
PRMU |
2021-12-16 15:15 |
Online |
Online |
Multivariate time series forecasting accuracy improvement method based on LSTNet Hayato Sano, Jun Rokui (Univ of Shizuoka) PRMU2021-37 |
Multivariate time series forecasting is a field to predict future values by analyzing the past of multiple time series d... [more] |
PRMU2021-37 pp.71-76 |
EE, IEE-HCA |
2021-05-27 09:25 |
Online |
Online |
LSTM-based Neural Network Model for Predicting Solar Power Generation Kundjanasith Thonglek, Kohei Ichikawa (NAIST), Kazufumi Yuasa, Tadatoshi Babasaki (NTT-F) EE2021-2 |
Currently, the most popular renewable energy is solar power which reduces pollution consequences from using conventional... [more] |
EE2021-2 pp.7-12 |
NC, NLP (Joint) |
2021-01-21 12:05 |
Online |
Online |
Examination of precipitation estimation using atmospheric variables Takanori Ito, Motoki Amagasaki, Kei Ishida, Masato Kiyama, Masahiro Iida (GSST Kumamoto University) NC2020-34 |
In this paper, we developed a model for SR using ConvLSTM to improve the resolution of precipitation data.
In the relat... [more] |
NC2020-34 pp.13-17 |
MBE, NC (Joint) |
2020-12-18 15:40 |
Online |
Online |
Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, ma... [more] |
NC2020-30 pp.13-18 |
ITS, WBS, RCC |
2020-12-15 13:50 |
Online |
Online |
Classification of pedestrians existing in visible or blind areas using Doppler radar
-- An Approach Using Long Short-Term Memory -- Sora Hayashi, Daiki Isobe (Ritsumeikan Univ.), Kenshi saho (Toyama Pref. Univ.), Masao Masugi (Ritsumeikan Univ.) WBS2020-29 ITS2020-25 RCC2020-32 |
In this report, the walking positions of pedestrians, whether they are directly visible from the observation point or in... [more] |
WBS2020-29 ITS2020-25 RCC2020-32 pp.121-125 |
CQ |
2018-07-20 13:50 |
Miyagi |
Tohoku Univ. |
Traffic Matrix Prediction based on Bidirectional Recurrent Neural Network and Long Short-Term Memory Van An Le, Phi Le Nguyen (Sokendai(The Graduate University for Advanced Studies)), Yusheng Ji (NII) CQ2018-40 |
Accurate prediction of the future network traffic plays an important role in various network problems (e.g. traffic engi... [more] |
CQ2018-40 pp.51-56 |
PRMU, CNR |
2017-02-19 10:20 |
Hokkaido |
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Research of Action Recognition for Automatic Internal State Estimation based on Deep Learning Kanji Yamaguchi, Masayuki Kashima, Shinya Fukumoto, Kiminori Satou, Mutsumi Watanabe (kagoshima Univ.) PRMU2016-177 CNR2016-44 |
Japan is turning into a high-stress society.Cause of stress are those that are in a state of mind taut by "anxiety-tensi... [more] |
PRMU2016-177 CNR2016-44 pp.143-148 |
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