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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, US (Joint) |
2023-12-23 10:05 |
Fukuoka | Inspection of Fat Content in Frozen Albacore Using Multi-Channel A-Mode Ultrasound Suguru Yasutomi, Akira Sakai (Fujitsu), Masafumi Yagi (Tokai Univ.), Kanata Suzuki (Fujitsu), Hiroki Kashikura, Shuichiro Abe, Kaito Nakamura, Yuya Arai, Yuki Tajima, Keiichi Goto (Tokai Univ.) |
(To be available after the conference date) [more] | ||
| ITS, WBS, RCC | 2023-12-21 14:15 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optical alignment of LED backhaul based on object detection Yuma Nishimura, Wataru Chujo, Kentaro Kobayashi (Meijo Univ.) |
(To be available after the conference date) [more] | |
| IBISML | 2023-12-21 10:30 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Badminton Rally Analysis Using LSTM Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki (Kumamoto Univ.) |
(To be available after the conference date) [more] | |
| NS, RCS (Joint) |
2023-12-15 11:45 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Deep Reinforcement Learning Based Computing Resource Allocation in Fog Radio Access Networks Tong Zhaowei (Kyushu Univ.), Ahmad Gendia (Al-Azhar Univ.), Osamu Muta (Kyushu Univ.) |
[more] | |
| NS, RCS (Joint) |
2023-12-15 17:35 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Device Type Classification based on Periodicity Analysis of Evenly Spaced Interpolated Traffic Chikako Takasaki, Tomohiro Korikawa, Kyota Hattori, Hidenari Ohwada (NTT) |
(To be available after the conference date) [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Compact Emotional Space Simulating Human Percieve of Emotion Based on Crossmodal Contrastive Learning with Softlabel Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) |
(To be available after the conference date) [more] | |
| IE, CS, IPSJ-AVM [detail] | 2023-12-12 11:15 |
Fukuoka | Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Investigation of Haze Removal Processing Method for Visual IoT Regional Monitoring System Shumpei Yoshikawa, Ryota Kai, Hinako Fukuki (Kyutech), Yuki Murakami, Ken T. Murata (NICT), Hideaki Kawano (Kyutech)  CS2023-88 IE2023-30 |
(To be available after the conference date) [more] | CS2023-88 IE2023-30 pp.34-39 |
| SIS | 2023-12-08 14:10 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-43 |
(To be available after the conference date) [more] | SIS2023-43 pp.105-110 |
| EMCJ | 2023-11-24 13:25 |
Tokyo | Kikai-Shinko-Kaikan (Primary: On-site, Secondary: Online) |
A Study on Explainability of Convolutional Neural Network Predicting Electric Characteristics of Automotive Wire Harness Based on Score Regression Activation Mapping (Score-RAM) Syumpei Ebina, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EMCJ2023-74 |
In this report, we propose score regression activation mapping (Score-RAM) based on explainable artificial intelligence.... [more] | EMCJ2023-74 pp.13-18 |
| ICM, NS, CQ, NV (Joint) |
2023-11-22 15:00 |
Ehime | Ehime Prefecture Gender Equality Center (Primary: On-site, Secondary: Online) |
A No-Reference QoE Estimation method with WebRTC Statistics using Deep Learning Keisuke Sakakibara, Satoshi Ohzahata, Ryo Yamamoto (UEC) CQ2023-50 |
WebRTC enables low latency communication and is used for real-time video delivery. Since video delivery services require... [more] | CQ2023-50 pp.67-72 |
| KBSE, SC | 2023-11-18 15:10 |
Miyagi | Sento Kaikan | Research to improve the accuracy of inferring program defects using deep learning Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2023-50 SC2023-33 |
Experienced developers seem to be able to identify defects in programs created by beginners at a glance. We applied sup... [more] |
KBSE2023-50 SC2023-33 pp.93-98 |
| MSS, CAS, IPSJ-AL [detail] | 2023-11-16 16:30 |
Okinawa | Deep Reinforcement Learning for Multi-Agent Systems with Temporal Logic Specifications Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2023-70 MSS2023-40 |
In multi-agent systems, the challenge is how a group of agents collaborate to achieve a common goal. In our previous wor... [more] | CAS2023-70 MSS2023-40 pp.54-58 |
|
| MI, MICT | 2023-11-14 11:10 |
Fukuoka | [Short Paper]
Choroid layer extraction for 3D OCT images using a deep learning network fusing CNN and Transformer Shingo Tamachi, Takayuki Okamoto, Takehito Iwase, Yuto Kawamata, Hirotaka Yokouchi, Hideaki Haneishi (Chiba Univ.) MICT2023-28 MI2023-21 |
The choroid, a dense vascular layer located in the fundus, accounts for the majority of the blood supply to the retina. ... [more] | MICT2023-28 MI2023-21 pp.13-14 |
|
| MI, MICT | 2023-11-14 15:00 |
Fukuoka | Pre-training without natural images for Cystoscopic AI Diagnosis of Bladder Cancer Ryuunosuke Kounosu (AIST/Toho Univ.), Wonjik Kim (AIST), Atsushi Ikeda (Univ. of Tsukuba), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-34 MI2023-27 |
When developing AI models, it is sometimes difficult to collect sufficient training data. In these cases, pre-trained AI... [more] | MICT2023-34 MI2023-27 pp.37-40 |
|
| MI, MICT | 2023-11-14 15:20 |
Fukuoka | Generation of pseudo-CT images from phalanges CR images based on deep learning
-- Accuracy comparison using pix2pix and CycleGAN -- Rensuke Ueno, Takaharu Yamazaki (SIT), Kazuaki Tanaka (Neomedical Corporation), Keizo Fukumoto (Saitama Jikei Hospital) MICT2023-35 MI2023-28 |
In this study, we perform generation to pseudo-CT images from phalanges CR images using deep learning. For the image gen... [more] | MICT2023-35 MI2023-28 pp.41-44 |
|
| SANE | 2023-11-13 15:20 |
Chiba | Chiba Univ. (Nishi-Chiba Campus) (Primary: On-site, Secondary: Online) |
NDVI Prediction with SAR Data Using Interferometric Coherence Raiki Kudo (UTokyo), Seisuke Fukuda (JAXA) SANE2023-57 |
The Normalized Difference Vegetation Index (NDVI) obtained by optical remote sensing is an indicator of vegetation densi... [more] | SANE2023-57 pp.58-63 |
| ET | 2023-11-11 09:10 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Joint Generation of Questions and Reference Answers for Reading Comprehension with Difficulty-Controllability Teruyoshi Goto, Yuto Tomikawa, Masaki Uto (UEC) ET2023-24 |
Recently, deep learning techniques have been employed to automatically generate reading comprehension questions tailored... [more] | ET2023-24 pp.1-7 |
| ET | 2023-11-11 14:50 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification Yuto Takahashi, Masaki Uto (UEC) ET2023-31 |
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] | ET2023-31 pp.40-46 |
| SR | 2023-11-10 10:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Short Paper]
On Model Transfer with Deep Joint Source Channel Coding Katsuya Suto, Issa Matsumura, Junichiro Yamada (UEC) SR2023-58 |
Based on the source channel separation theorem, the current multimedia transfer system employs independently designed so... [more] | SR2023-58 pp.61-63 |
| SR | 2023-11-10 11:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Short Paper]
Model Sharing and Learning for Visually Secure Deep Joint Source Channel Coding Yuyang Fu, Katsuya Suto (UEC) SR2023-59 |
Research and development of Deep Joint Source Channel Coding (DeepJSCC) technology, which is a data-driven design of inf... [more] | SR2023-59 pp.64-66 |
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