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All Technical Committee Conferences  (Searched in: Recent 10 Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 34  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
BCT, IEEE-BT 2025-03-07
13:30
Okinawa   (Okinawa, Online)
(Primary: On-site, Secondary: Online)
[Invited Talk] How AI Technology Can Empower Broadcast Media
Toru Imai (NHK)
(To be available after the conference date) [more]
HI, VRPSY, JSKE 2024-11-16
10:00
Osaka Kindai Univ. (Osaka) Deep learning mind-reading model based on gaze information
Nayuta Tada, Takeshi Kohama (Kindai Univ.)
In this study, intending to establish a mind-reading technique based on gaze information, we developed a model that exte... [more] HI2024-47
pp.47-50
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] 2024-09-04
15:30
Hiroshima Hiroshima Institute of Technology (Hiroshima, Online)
(Primary: On-site, Secondary: Online)
The Research on Dangerous Behavior Recognition and Warning System for Escalators Based on Deep Learning Models
YongXuan Zhu, Hiroyuki Nakamura (S.I.T)
In this study, we developed a system that uses deep learning and image recognition technology to identify potential dang... [more] ME2024-80
pp.1-5
OSJ-HODIC, AIT, 3DMT, IDY, IEICE-EID, IEE-OQD, SID-JC 2024-09-02
14:30
Tokyo Kikai-Shinko-Kaikan Bldg (Tokyo, Online)
(Primary: On-site, Secondary: Online)
[Invited Talk] Deep Learning in Projection Mapping
Daisuke Iwai (UOsaka)
Projection mapping (PM) allows users to experience virtual and augmented reality without wearing displays by projecting ... [more] IDY2024-39 AIT2024-161 3DMT2024-50
pp.36-39
IEICE-ICD, IEICE-SDM, IST [detail] 2024-08-06
13:45
Hokkaido   (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Automatic Circuit Topology Selection for Sub-THz Small-Signal Amplifiers using Machine Learning Models
Tsukasa Hasegawa, Kyoya Takano (Tokyo Univ. of Science)
The objective of this study is to realize automatic design of RF front-end circuits in the sub-THz band. As an initial s... [more]
3DMT 2024-07-26
13:30
Tokyo NHK Science & Technology Research Laboratories (Tokyo, Online)
(Primary: On-site, Secondary: Online)
[Invited Talk] *
Hiroyuki Shinoda (Univ. of Tokyo)
In this project, we called VR images that interact with tactile sensations "materialized graphics" and conducted researc... [more] 3DMT2024-36
pp.22-23
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] 2024-06-07
09:30
Niigata Nigata University (Ekinan-Campus "TOKIMATE") (Niigata) A pre-trained representation learning model can be used to decode speech from intracranial recordings
Shoya Murakami, Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT)
Deep learning has been shown to be effective in decoding the content of a speaker's speech from recordings of brain acti... [more]
BCT, IEEE-BT 2024-02-16
10:30
Aichi Nagoya International Center (Aichi, Online)
(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 (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 (Osaka) 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 (Online) [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 (Online) 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 (Kumamoto, Online)
(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 (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 (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 (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) (Online, Hokkaido) 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 (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 (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 (Tokyo)
(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
 Results 1 - 20 of 34  /  [Next]  
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