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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-29 15:10 |
Fukui | (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 |
| EMT, IEE-EMT | 2024-11-28 10:25 |
Shizuoka | Shizuoka Convestion & Arts Center | Proposal of Extended Liquid Time-Constant Neural Networks to Solve Partial Differential Equations Justin Jun Wilkins, Yukihisa Suzuki (Tokyo Metropolitan Univ.) EMT2024-77 |
The purpose of this study is to develop a machine learning model using deep learning as a surrogate model for analysing ... [more] | EMT2024-77 pp.96-101 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2024-11-12 14:05 |
Oita | COMPAL HALL (Primary: On-site, Secondary: Online) |
Low-bit Quantization Methods for Neural Networks Emi Wada, Shinji Kimuda (Waseda Univ.) VLD2024-28 ICD2024-46 DC2024-50 RECONF2024-58 |
Lightweighting neural networks are critical challenges for edge applications. Among various methods, Post Training Quant... [more] | VLD2024-28 ICD2024-46 DC2024-50 RECONF2024-58 pp.8-13 |
| RISING (3rd) |
2024-11-12 10:15 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Investigation on Lightweight Privacy Protection Methods in Split Computing Using CNNs Yuya Okada, Takayuki Nishio (Science Tokyo) |
Split Computing is a technique that partitions neural network inference between a client device and a server, where the ... [more] | |
| SR, RCS (Joint) (2nd) |
2024-11-04 - 2024-11-07 |
Overseas | Fraunhofer IPT | [Poster Presentation]
An FPGA-based CNN Accelerator for Wireless Physical Layer Martin Lastovka (M.Sc. Student), Mohsen Pourghasemian (Research Assistant), Firooz Saghezchi (PhD), Haris Gacanin (Professor) |
Convolutional Neural Networks (CNNs) can handle different tasks such as channel estimation in wireless Physical Layer (P... [more] | |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center | [Poster Presentation]
Design and Performance Evaluation of Optimizers Using Particle Swarm Optimization in Convolutional Neural Networks Utsumi Furuya, Takuya Shindo, Nobuhiko Itoh (NIT) |
Convolutional neural networks (CNNs) are widely used in various fields such as image recognition and natural language pr... [more] | |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center | [Poster Presentation]
Malware Detection Using Transformer Focusing on File Headers Sota Okubo, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
In recent years, cyber crimes caused by malware have dramatically increased, and countermeasures against such crimes hav... [more] | |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center | [Poster Presentation]
A Study on the Estimated Sugar Content of Bananas Using Image Recognition Runo Kaiga, Utsumi Furuya, Hotaka Hoshino, Takuya Shindo, Nobuhiko Itoh (NIT) |
It is well known that the peel color and the degree of sugar spots change as bananas ripen. These changes are closely re... [more] | |
| IN, CCS (Joint) |
2024-07-30 11:10 |
Hokkaido | Moerenuma Park Glass Pyramid | The impact of each layer of feature extractors on class separability Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) CCS2024-37 |
There is a method called Network Architecture Search (NAS) that automatically explores the optimal structure of neural n... [more] | CCS2024-37 pp.48-51 |
| MBE | 2024-07-27 13:30 |
Okayama | Kawasaki University of Medical Welfare | Analysis of common carotid artery blood flow velocity spectrogram using CNN for diagnosis of arteriosclerosis Kodai Ikuta, Masatake Akutagawa, Takahiro Emoto, Yosuke Kinouchi, Kazuyoshi Kitaoka, Hirotsugu Yamada (Tokushima Univ.), Hiroyui Tanaka (Naruto Univ. of Education) MBE2024-12 |
This research group is developing a carotid artery blood flow velocity measurement device as a simple screening device t... [more] | MBE2024-12 pp.1-5 |
| ET | 2024-07-27 15:30 |
Ehime | Ehime University (Johoku Campus) | Use of Braille Image to Japanese Text Translation System in a School for the Visually Impaired Shoichi Ito, Yoshinori Fujisawa (NITNC) ET2024-18 |
Braille is the writing system used by the visually impaired. Teachers in the schools for the visually impaired teach Br... [more] |
ET2024-18 pp.29-32 |
| IMQ, HIP | 2024-07-12 14:00 |
Hokkaido | Satellite Campus, Sapporo City University | Visualization of the shape of the mainsail on a yacht by object detection and keypoint detection Mitsuhiko Miyahara, Tetsuya Matumoto (Nagoya Univ.), Yoshinori Takeuti (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2024-3 HIP2024-34 |
Since yachts are sailed by the force caused by the air pressure difference between the wind passing through the inside a... [more] | IMQ2024-3 HIP2024-34 pp.1-6 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 16:40 |
Okinawa | OIST | Gradually Growing SparseNet Takumi Nakamura, Shogo Taneda, Yukari Yamauchi (NU) NC2024-26 IBISML2024-26 |
Gao Huang et al. proposed a Dense Convolutional Network (DenseNet) that takes the feature maps of all previous layers as... [more] | NC2024-26 IBISML2024-26 pp.165-168 |
| IA, ICSS | 2024-06-17 13:55 |
Okayama | Okayama University (Primary: On-site, Secondary: Online) |
Optimal partitioning method among heterogeneous edge nodes in CNN models Ryoya Okamoto, Xun Shao (TUT) IA2024-2 ICSS2024-2 |
In recent years, building lightweight models has become important to solve edge computing challenges in running complex ... [more] | IA2024-2 ICSS2024-2 pp.7-12 |
| ITS | 2024-06-14 13:05 |
Aichi | (Primary: On-site, Secondary: Online) |
Speed-up of Road Damage Detection by Faster R-CNN using Drive Recorder Images Yusei Tanzawa, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2024-1 |
Recently, Faster R-CNN has been used in research to detect road surface damage from images, but there is a problem in sp... [more] | ITS2024-1 pp.1-5 |
| SR | 2024-05-21 12:50 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Invited Talk]
A Study on Utilization of Machine Learning in Effective Use of Frequency Resources Teruji Ide (N I T, Kagoshima College) SR2024-17 |
Nowadays the Fifth-Generation Mobile communications system (5G) and the other mobile communications systems have spread ... [more] | SR2024-17 p.70 |
| ICD | 2024-04-11 14:55 |
Kanagawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
A818-4094TOPS/W Capacitor-Reconfigured CIM Macro for Unified Acceleration of CNNs and Transformers Kentaro Yoshioka (Keio) ICD2024-8 |
In the field of machine learning, various neural network architectures such as CNNs, Transformers, and hybrid structures... [more] | ICD2024-8 pp.24-26 |
| CAS, CS | 2024-03-14 13:55 |
Okinawa | Study on Comparison of Effective CSI Feature Extraction and Deep Learning-Based Indoor Positioning Methods Seiha Homma, Hayato Matsushita, Yuta Ida (Yamaguchi Univ.), Yasuaki Ohira (Kagoshima Univ.), Sho kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.) CAS2023-119 CS2023-112 |
In recent years, the indoor positioning solution markets has been expanding, and there is a growing demand for indoor po... [more] | CAS2023-119 CS2023-112 pp.47-52 |
|
| AP | 2024-03-15 10:25 |
Fukui | UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] | AP2023-212 pp.63-67 |
| CAS, CS | 2024-03-15 10:40 |
Okinawa | A consideration of training data for a sport climbing difficulty estimation system using CNN Yoto Omotani, Nao Ito (NIT,Toyama) CAS2023-128 CS2023-121 |
In this paper, in order to improve the estimation accuracy of problem difficulty in sport climbing by machine learning, ... [more] | CAS2023-128 CS2023-121 pp.95-98 |
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