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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
SeMI 2024-01-18
13:30
Yamanashi Raki House Kaiji Enhancing Human Skeleton Estimation with Multi-Frame mmWave Radar Point Cloud-based Method
Xintong Shi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-52
Millimeter-Wave (mmWave) radar-based skeleton estimation has emerged as a focal point in the realm of human motion analy... [more] SeMI2023-52
pp.18-21
NLP 2023-11-28
13:50
Okinawa Nago city commerce and industry association Considerations on the distribution of latent variables in CNNs
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] NLP2023-65
pp.31-34
SCE 2023-10-31
10:00
Miyagi RIEC, Tohoku Univ.
(Primary: On-site, Secondary: Online)
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits
Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] SCE2023-17
pp.26-31
BioX 2023-10-12
15:25
Okinawa Nobumoto Ohama Memorial Hall A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data
Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60
We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructe... [more]
BioX2023-60
pp.12-15
CAS, CS 2023-03-01
09:30
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Modification and Comparison of Learning Sudoku with Convolutional Networks
Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) CAS2022-96 CS2022-73
Sudoku is a logic puzzle in which the number between 1 and 9 is to fill in the boxes of the 9x9 grid by using the number... [more] CAS2022-96 CS2022-73
pp.1-5
MBE, NC 2022-12-03
11:00
Osaka Osaka Electro-Communication University Image Classification Using Gabor Filters as Preprocessing for CNNs
Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54
Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural netwo... [more] MBE2022-32 NC2022-54
pp.43-46
RECONF 2022-06-08
15:25
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
A Compact High-Speed CNN Implementation based on Redundant Computational Analysis and FPGA Acceleration
Li Qi, Li Hengyi, Meng Lin (Ritsumeikan Univ.) RECONF2022-21
Convolutional Neural Networks (CNNs) have achieved high performance and are widely used in various applications. However... [more] RECONF2022-21
pp.89-94
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
10:10
Online Online (Zoom) A study on player and ball tracking in tennis videos.
Kosuke Matsumoto (Kobe univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe univ.) IMQ2021-16 IE2021-78 MVE2021-45
This paper proposes a player and ball tracking method in tennis videos with image processing techniques. The proposed me... [more] IMQ2021-16 IE2021-78 MVE2021-45
pp.33-38
RCS, NS
(Joint)
2021-12-17
14:05
Nara Nara-ken Bunka Kaikan and Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Performance evaluation on QoS Prediction between Terminals and Access Points Using Convolutional Neural Network
Hiroya Ono, Yuki Sakaue, Satoshi Narikawa (NTT) NS2021-108 RCS2021-191
Recent mobile terminals have been able to choose from multiple connection options, and optimally accommodating them to e... [more] NS2021-108 RCS2021-191
pp.59-64(NS), pp.82-87(RCS)
MI, MICT [detail] 2021-11-05
10:25
Online Online Performance Improvement of Alzheimer's Disease Identification Using Cognitive Function Test Scores
Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MICT2021-31 MI2021-29
As the population ages, the prevalence of Alzheimer’s disease (AD) is expected to increase. AD causes progressive brain ... [more] MICT2021-31 MI2021-29
pp.17-21
EMT, IEE-EMT 2021-11-05
11:15
Online Online Quaternion convolutional neural networks for PolSAR land classification
Yuya Matsumoto, Ryo Natsuaki, Akira Hirose (UTokyo) EMT2021-43
We propose a quaternion convolutional neural network (QCNN) for Polarimetric synthetic aperture radar
(PolSAR) land cla... [more]
EMT2021-43
pp.76-81
RECONF 2021-09-10
10:20
Online Online Convolutional neural network implementations using Vitis AI
Akihiko Ushiroyama, Nobuya Watanabe, Akira Nagoya, Minoru Watanabe (Okayama Univ.) RECONF2021-19
Recently, Xilinx provides an FPGA-based Vitis AI development environment which is one of deep learning frameworks to acc... [more] RECONF2021-19
pp.13-18
CS 2021-07-16
09:40
Online Online Joint Transmit Power and Beamforming Control based on Unsupervised Machine Learning for MIMO Wireless Communication Networks
Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) CS2021-29
In mobile communications, densely deployed cell systems are expected to improve the system capacity drastically. However... [more] CS2021-29
pp.63-68
CCS 2021-03-29
15:40
Online Online A 3DCNN with Reduced Parameters Using Depthwise Separable Convolution
Koki Ito, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-27
Convolutional Neural Networks (CNNs) have been used in various fields such as image and speech. In recent years, CNNs ha... [more] CCS2020-27
pp.37-41
NC, MBE
(Joint)
2021-03-03
13:00
Online Online Hybrid Sparsity in Convolutional Neural Networks
Shoma Noguchi, Yukari Yamauchi (Nihon Univ.) NC2020-46
Convolutional neural networks (CNNs) have achieved high accuracy in areas such as image classification and object detect... [more] NC2020-46
pp.21-24
NC, MBE
(Joint)
2021-03-04
16:25
Online Online Hierarchical Feature Extraction for Dynamic Q-Network
Taishi Komatsu, Yukari Yamauchi (Nihon Univ.) NC2020-62
Recently, Convolutional Neural Networks (CNN), which have been successful in the field of image recognition, use a hiera... [more] NC2020-62
pp.112-116
MBE, NC
(Joint)
2020-12-18
14:50
Online Online Super resolution for sea surface temperature with CNN and GAN
Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama (Kumamoto Univ.) NC2020-28
In this paper, we use the deep neural networks (DNN)-based single image super-resolution (SISR) method for the super res... [more] NC2020-28
pp.1-6
DC 2020-12-11
13:40
Hyogo
(Primary: On-site, Secondary: Online)
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways
Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] DC2020-61
pp.12-17
PRMU 2020-10-09
11:00
Online Online Examination of data preprocessing in functional MRI image analysis using CNN
Yuta Hosoi (Niigata Univ.), Takafumi Hayashi (Nihon Univ) PRMU2020-22
fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since it... [more] PRMU2020-22
pp.20-25
 Results 1 - 20 of 45  /  [Next]  
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