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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| OME, IEE-DEI [detail] | 2025-01-31 09:45 |
Aichi | (Aichi) | [Invited Lecture]
Inverse design of broadband metamaterial absorber by deep learning Tatsunosuke Matsui (Mie Univ.) |
(To be available after the conference date) [more] | |
| HIP | 2024-12-16 15:00 |
Miyagi | RIEC (Miyagi) | Eccentricity-dependent response of internal units in a deep neural network incorporating cortical magnification Shunta Ura, Takahisa M. Sanada (Iwate Prefectural Univ.)  HIP2024-56 |
The projection from the retina to the primary visual cortex (V1) is non-uniform across the visual field. This non-unifor... [more] | HIP2024-56 pp.24-29 |
| SIS | 2024-12-05 11:40 |
Osaka | Osaka Electro-Communication University (Osaka, Online) (Primary: On-site, Secondary: Online) |
Learning Region-specific Features and Matching Distributions Across Regions in Geographical Domain Adaptation Takashi Horihata, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2024-34 |
Domain adaptation in image recognition has been widely studied as a technique to maintain high accuracy on images with d... [more] | SIS2024-34 pp.19-24 |
| MICT, MI | 2024-12-05 16:15 |
Osaka | Jikei University of Health Care Sciences (Osaka) | A Study on Positioning Evaluation in Mammography Using Deep Learning
-- A study on breast withdrawal and defect evaluation using a phantom for positioning practice - -- Haruna Shibo, Aya Osakabe, Sanae Takahashi, Yuta Endo, Shigehide Kuhara (Kyorin Univ.) MICT2024-45 MI2024-43 |
In mammography, the positioning technique of the radiological technologist has a significant impact on the image quality... [more] | MICT2024-45 MI2024-43 pp.66-69 |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-29 15:10 |
Fukui | (Fukui, Online) (Primary: On-site, Secondary: Online) |
Determination of cardiac stenosis patients by CNN using 3D non-contrast cardiac CT data Tetsuya Asakawa (TUT), Masashi Hashimoto, Takeshi Miyaji, Kei Nomura, , Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2024-17 |
In cardiac CT imaging diagnosis, coronary angiography using contrast agents is performed. However, in actual medical pra... [more] | PRMU2024-17 pp.50-54 |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-30 10:15 |
Fukui | (Fukui, Online) (Primary: On-site, Secondary: Online) |
Disentangle Learning for Interactive Semiconductor Inspection Robust to Thin-Film Interference Koki Mitsusada, Koji Kamma, Toshikazu Wada (Wakayama Univ.), Yasuhiro Hamada, Yoshinori Shimada, Takeshi Noguchi, Toshiyuki Okayama (Advanced System Solutions Co., Ltd.) PRMU2024-25 |
In the semiconductor wafer inspection process, an intensity difference-based method is widely used, in which defects are... [more] | PRMU2024-25 pp.93-98 |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-30 11:00 |
Fukui | (Fukui, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep image synthesis with physical and geometrical constraints Takuhiro Kaneko (NTT) PRMU2024-26 |
Since the third AI boom began in the 2000s, deep learning has been making tremendous progress in various fields. One of ... [more] | PRMU2024-26 p.99 |
| SRW, SeMI (Joint) |
2024-11-28 16:05 |
Tokyo | Tokyo Univ. of Science Katsushika Campus (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Classification of workplace human body postures using 3D point cloud data with data augmentation Jumpei Watanabe, Ryoichi Shinkuma, Gabriele Trovato (SIT) SRW2024-34 SeMI2024-46 |
The office-efficiency-monitoring market has grown. There are some studies for monitoring human postures in office enviro... [more] | SRW2024-34 SeMI2024-46 pp.37-40 |
| EMT, IEE-EMT | 2024-11-26 15:55 |
Shizuoka | Shizuoka Convestion & Arts Center (Shizuoka) | On applying transfer learning into the neural network method for electromagnetic analysis Kazuhiro Fujita (Saitama IT) EMT2024-61 |
The author has been working on the development of the neural network methods for electromagnetic analysis. In this repor... [more] | EMT2024-61 pp.13-16 |
| UWT (2nd) |
2024-11-19 15:25 |
Kagoshima | (Kagoshima) | Reinforcement Learning-Based Path Switching in IRS-Assisted Underwater Optical Wireless Communication Takumi Ishida, Chedlia Ben Naila, Hiraku Okada (Nagoya Univ.) |
We consider Intelligent Reflecting Surface(IRS)-assisted underwater optical wireless communication (UOWC). Since IRS can... [more] | |
| RISING (3rd) |
2024-11-11 13:20 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
Experimental Demonstration of FFT-based Deep Joint Source-Channel Coding Tomoka Mori (Osaka Univ.), Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda (Magna Wireless), Daisuke Hisano (Osaka Univ.) |
Deep joint source-channel coding (DeepJSCC), which integrates source and channel coding using deep learning, has attract... [more] | |
| RISING (3rd) |
2024-11-12 09:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
Study on Topology Design for Quantum Networks Using Deep Reinforcement Learning Kota Iida, Takuji Tachibana (Univ. Fukui) |
In quantum networks, qubits are transmitted via quantum teleportation using quantum entanglement established between the... [more] | |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center (Okayama) | [Poster Presentation]
Application of Deep Reinforcement Learning for Route Optimization in Satellite-to-Satellite Optical Communication Ibuki Ikeda (TUS), Koji Oshima (NICT), Maki Arai, Mikio Hasegawa (TUS) |
In a multi-hop communication using LEO satellite networks between two ground stations latency increases when access to s... [more] | |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center (Okayama) | [Poster Presentation]
Proposal of Deep Learning for Intrusion Detection System in Tor Network Chihiro Yukawa, Tetsuya Oda, Kengo Katayama (OUS) |
The Onion Router (Tor) is a network system designed to prevent user activities and location information from being track... [more] | |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center (Okayama) | [Poster Presentation]
UAV Assisted Sensor Power Supply System using DQN Shouta Sogawa, Kimura Tomotaka, Jun Cheng (Doshisha Univ.), Hiraguri Takefumi (NIT) |
In recent years, sensor power systems using UAVs (Unmanned Aerial Vehicles) to wirelessly power multiple sensors have at... [more] | |
| MIKA (3rd) |
2024-10-29 14:35 |
Okayama | Okayama Convention Center (Okayama) | [Poster Presentation]
Anomaly Detection Using Multiple Auto Encoders Specialized for Malware Families Nobuhiro Nomura, Tomotaka Kimura, Jun Cheng (Doshisha Univ) |
with the spread of networks, cyber attacks such as unauthorized intrusions via networks have increased, which has become... [more] | |
| EST, MW, EMCJ, IEE-EMC [detail] | 2024-10-18 11:40 |
Akita | Akita Art Village Onsen Yupopo (Akita, Online) (Primary: On-site, Secondary: Online) |
A Fundamental Study on Circuit Simulation of an Electrostatic Discharge Generator by the Physics-Informed Neural Network Method Kazuhiro Fujita (Saitama IT) EMCJ2024-68 MW2024-121 EST2024-92 |
A fundamental study on circuit simulation of an electrostatic discharge (ESD) generator by the physics-based neural netw... [more] | EMCJ2024-68 MW2024-121 EST2024-92 pp.168-171 |
| NLP, CAS | 2024-10-17 14:00 |
Tottori | Information Center, Tottori University (Tottori) | Consideration of incremental learning in the latent variable space Chika Obata, Kenya Jin'no (Tokyo City Univ.) CAS2024-37 NLP2024-67 |
In this article, we examine the methods and problems of incremental learning in classifying deep learning models. In co... [more] |
CAS2024-37 NLP2024-67 pp.52-57 |
| MI | 2024-09-06 09:45 |
Hiroshima | (Hiroshima, Online) (Primary: On-site, Secondary: Online) |
Procedure detection by continuous frame analysis Kazuki Tanaka (Chiba Univ.), Mai Fujie (Chiba Univ. Hospital), Yukihiro Nomura, Toshiya Nakaguchi (Chiba Univ.) MI2024-19 |
The findings made after endoscopic examinations are dependent on the physician's retention of the patient case and requi... [more] | MI2024-19 pp.5-7 |
| EMM, ITE-ME, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2024-09-05 10:30 |
Hiroshima | Hiroshima Institute of Technology (Hiroshima, Online) (Primary: On-site, Secondary: Online) |
Image Classification of Natural Objects and Man-Made Objects Using Deep Learning
-- Classification of Real Dogs and Stuffed Dogs -- Takuro Ogasawara, Kanta Tachibana, Naiwala P. Chandrasiri (Kogakuin Univ.) LOIS2024-21 IE2024-27 EMM2024-77 |
To acquire comprehensive insights into distinguishing natural from man-made objects, we conducted image classification u... [more] | LOIS2024-21 IE2024-27 EMM2024-77 pp.52-57 |
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