| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| BCT, IEEE-BT |
2024-02-16
10:30 |
Aichi |
Nagoya International Center
(Primary: On-site, Secondary: Online) |
Anomaly Detection on Radio over Fiber Gap filler using Machine Learning
Koichiro Nakamura, Hiroto Yorioka, Takeshi Higashino, Minoru Okada (NAIST) |
Optical fiber-based gap filler is used to reduce terrestrial broadcasting dead-zone for mitigating the digital divide pr... [more] |
BCT2024-26
pp.21-24 |
| HI |
2023-03-15
14:35 |
Online |
|
Analysis of learning logs in lectures and self-studies (Second report)
Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) |
This report describes an analysis method for learning logs based on the non-verbal behavior of lecturers and students me... [more] |
HI2023-12
pp.25-28 |
| BCT, IEEE-BT |
2023-02-16
14:30 |
Osaka |
Osaka Museum of History |
Predicting Temperature Rise Using Machine Learning in Microwave Heating
Tohgo Hosoda, Aditya Rakhmadi, Kazuyuki Saito (Chiba Univ.) |
In recent years, research on machine learning has been active, and use of technology been increasing in various fields w... [more] |
BCT2023-18
pp.1-4 |
| IIEEJ, AIT |
2022-10-30
14:50 |
Online |
on line |
[Invited Talk]
Advances in Image Editing Techniques with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The metho... [more] |
AIT2022-175
p.13 |
| IIEEJ, AIT |
2022-10-30
16:00 |
Online |
on line |
A Trial of Recognition of Electronic Parts by Deep-Learning for Efficient Recycling
Yihong Tang, Tomonori Izumi (Ritsumeikan Univ.) |
In order to improve material-recycling of disposed electronic appliances, we aim to develop a system to analyze and cate... [more] |
AIT2022-177
pp.19-22 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
15:30 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Prognosis prediction for colorectal cancer from digitized pathological whole slide image using multiple instance learning
Kazuki Omori, Kenichi Morooka (Okayama Univ.), Ryota Nakanishi, Shoko Miyauchi, Eiji Oki, Tomoharu Yoshizumi (Kyushu Univ.) |
(To be available after the conference date) [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
17:00 |
Online |
online |
A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels
Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] |
MMS2022-34 ME2022-59 AIT2022-34
pp.377-381 |
| BCT, IEICE-SIS |
2021-10-08
10:00 |
Online |
online |
[Tutorial Lecture]
The Past and The Future of Explainable AI Techniques
Yoshitaka Kameya (Meijo Univ.) |
Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a cen... [more] |
|
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9
pp.43-46 |
| 3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-03
15:10 |
Online |
G Square (Hakodate Community Plaza) |
3D Animation of a Humanoid Model using EMG Sensors
Tsutomu Horikoshi, Yoshie Nogami (SIT) |
In marine sports such as surfing, it is difficult to practice repeatedly under the same conditions. On the other hand, V... [more] |
3DIT2020-11
pp.25-29 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28
10:50 |
Online |
Online |
[Special Talk]
High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines
-- Sparse Modeling and Convolutional Dictionary Learning --
Shogo Muramatsu (Niigata Univ.) |
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] |
IST2020-30 ME2020-81
p.13 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28
15:40 |
Online |
Online |
People counting device using real-time face detection by AI camera
Koki Takebe, Junichi Akita (Kanazawa Univ) |
Recent progress of semiconductor technology has been enabling small and inexpensive devices to execute the neural networ... [more] |
IST2020-31 ME2020-82
pp.37-40 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
11:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Approximation of Log-Aesthetic Curves using ODE-Net
Seiya Sakurai, Norimasa Yoshida (Nihon Univ.) |
In conventional deep learning, it is difficult to obtain the desired accuracy unless the time interval is constant. A me... [more] |
AIT2020-89
pp.135-136 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
15:10 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A note on estimation of gaze features for human emotion estimation while viewing images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the p... [more] |
MMS2020-17 HI2020-17 ME2020-45 AIT2020-17
pp.85-89 |
| BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA |
2020-01-23
16:20 |
Kagoshima |
|
[Special Talk]
Intelligent Robot & AI Technology for Pioneering Our Future
Mutsumi Watanabe (Kagoshima Univ.) |
The lecturer introduces the history of artificial intelligence (AI) and intelligent robots which the lecturer have devel... [more] |
BCT2020-9
pp.29-36 |
| SIP, ME |
2019-11-14
16:00 |
Kumamoto |
Sojo University, Main Campus |
A study on appropriate walking pace in mountaineering using wearable sensors
Satoshi Shimada (Nihon Univ.) |
For beginners to learn about the practical knowledge of mountain climbing, teaching materials explained with evidence ar... [more] |
ME2019-123
pp.33-36 |
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] |
2019-09-20
10:30 |
Niigata |
Tokimeito, Niigata University |
[Invited Talk]
Analysis of learning logs in lectures and self-studies
Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) |
In his report, we discuss the analysis methods for the followings
learning logs (non-verbal behaviors, noting behavior,... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
11:15 |
Tokyo |
Waseda Univ. |
Application of image recognition technology for movie scene search
Yuya Iino, Meeko Kuwahara, Kazuya Ueki (Meisei Univ.) |
Various methods can be considered for scene search, but in this paper we propose application of image recognition techno... [more] |
AIT2019-52
pp.9-12 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
Analysis of Radio Speech Using Deep Neural Network
Wataru Yokota, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech) |
Radio broadcasting, which uses audio information only, is still popular in the modern society in which television and mo... [more] |
AIT2019-142
pp.325-328 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.) |
The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the ... [more] |
AIT2019-146
pp.341-344 |