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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
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   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
 Results 1 - 9 of 9  /   
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