IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 2428 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2024-03-15
09:40
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
Examination on Contrast Improvement Method for Dichromats Using Hue Conversion with Multiplexed Conversion Amount
Yuta Otsuki, Go Tanaka (Nagoya City Univ.) SIS2023-54
Dichromats have difficulties in distinguish certain color combinations in images. In this paper, a new evaluation index ... [more] SIS2023-54
pp.49-54
SIS 2024-03-15
10:40
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
A study of low-level Gaussian noise estimating by using machine learning
Takashi Suzuki (MicroTechnica), Tomoaki Kimura (Kanagawa institute of technology) SIS2023-57
In this study, we investigate a noise estimation method for low-level Gaussian noise with a standard deviation of less t... [more] SIS2023-57
pp.67-72
RCC, ISEC, IT, WBS 2024-03-13
09:15
Osaka Osaka Univ. (Suita Campus) Research on safety verification of Japanese stamp
Uehara Asato (NTT-Me), Matsuzawa Yuito, Sugita Makoto (SUS) IT2023-75 ISEC2023-74 WBS2023-63 RCC2023-57
In recent years, machine learning has been used with high accuracy in the security field for handwriting appraisal and f... [more] IT2023-75 ISEC2023-74 WBS2023-63 RCC2023-57
pp.1-4
RCC, ISEC, IT, WBS 2024-03-13
09:40
Osaka Osaka Univ. (Suita Campus) An improvement method and security evaluation for the method of protecting ownership using digital watermark
Dung Ta Anh, Hidema Tanaka (NDA) IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58
pp.5-11
LOIS 2024-03-13
13:05
Okinawa Okinawa Pref Danjyo-Kyoudou-Sankaku Center
(Primary: On-site, Secondary: Online)
Proposal for creating a business system simulation environment using operation logs
Misa Fukai, Ikuko Takagi, Ryo Uchida, Masanobu Sakamoto, Shinji Ogawa, Haruo Oishi (NTT) LOIS2023-49
AI technology is an important element for improving the efficiency of office operations, which are becoming increasingly... [more] LOIS2023-49
pp.1-6
LOIS 2024-03-14
14:05
Okinawa Okinawa Pref Danjyo-Kyoudou-Sankaku Center
(Primary: On-site, Secondary: Online)
Address Classification Method Considering Address Cluster in Blockchain
Tomohiro Ojika, Shin Morishima (Toyama Prefectural Univ) LOIS2023-65
Blockchain is widely used for multiple applications because of its different features from existing finance, but due to ... [more] LOIS2023-65
pp.102-107
NLP, MSS 2024-03-13
13:55
Misc. Kikai-Shinko-Kaikan Bldg. Improvement of TimesNet's Inception Module in Time Series Prediction
Sayaka Tanaka, Masato Shirai (Shimane Univ.) MSS2023-77 NLP2023-129
In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and pe... [more] MSS2023-77 NLP2023-129
pp.35-37
NLP, MSS 2024-03-13
15:25
Misc. Kikai-Shinko-Kaikan Bldg. Machine learning-based solubility prediction and meta-heuristic search for multiple mutation patterns
Kaisei Kojima, Kazutoshi Sakakibara, Masaki Nakamura (Toyama Prefectural Univ.), Daisuke Matsui (Ritsumeikan Univ.) MSS2023-80 NLP2023-132
In order to solubilize insoluble proteins that cannot be used for industrial purposes, experiments have been performed t... [more] MSS2023-80 NLP2023-132
pp.48-53
RCC, ISEC, IT, WBS 2024-03-14
09:55
Osaka Osaka Univ. (Suita Campus) Comparison of accuracy of classification methods using machine learning for imaged malware
Kenta Usui, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96
In recent years, the damage caused by malware has become more serious, and the increase in the number of variants of exi... [more] IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96
pp.254-258
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
15:40
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
A study on figure skater's motion analysis for AI based jump classification
Tomoya Tsubai, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.) IMQ2023-53 IE2023-108 MVE2023-82
This paper proposes a method for recording time-series data from MediaPipe Pose and a method for configuring a neural ne... [more] IMQ2023-53 IE2023-108 MVE2023-82
pp.220-223
IA, SITE, IPSJ-IOT [detail] 2024-03-12
16:00
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
Improvement of Unknown Malicious Domain Detection Based on DNS Query History Analysis
Hiroto Yamada, Daiki Nobayashi, Takeshi Ikenaga (kyutech) SITE2023-83 IA2023-89
Network users are increasing and there is concern about the malware infection.
In some cases, malware-infected terminal... [more]
SITE2023-83 IA2023-89
pp.92-97
EE 2024-03-11
09:15
Tokyo
(Primary: On-site, Secondary: Online)
Design Method for Load-Independent WPT Systems Using Machine Learning
Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) EE2023-58
This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning.
... [more]
EE2023-58
pp.6-11
NC, MBE
(Joint)
2024-03-11
11:40
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Basic Consideration for the Effect of Gait Data Measured by a Simple Accelerometer on the Performance of Frailty Symptom Classifiers
Takumi Chino (Shinshu Grad school), Mizue Kayama (Shinshu Univ.), Masaki Tachibana (Shinshu Grad school), Taishi Wakitani, Nobuyuki Tachi (Shinshu Univ.), Takashi Nagai (Inst of Tech) MBE2023-71
The purpose of this study is to explore the possibility of preventing frailty symptoms through gait characteristics comp... [more] MBE2023-71
pp.13-18
MI 2024-03-03
14:30
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Invited Lecture] Latest Research Trends 2023: Machine Learning for Medical Image Processing
Fukashi Yamazaki (Canon) MI2023-48
In this paper, we overview the outlines of MICCAI 2023’s main conference sessions and satellite workshops. Several inter... [more] MI2023-48
pp.53-55
PRMU, IBISML, IPSJ-CVIM 2024-03-04
09:36
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Disabling Adversarial Examples through Color Information Processing
Ryo Soeda, Masato Uchida (Waseda Univ.) PRMU2023-67
Image classification using neural networks is expected to have a wide range of applications, including automated driving... [more] PRMU2023-67
pp.94-99
PRMU, IBISML, IPSJ-CVIM 2024-03-04
11:10
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Towards Client-aware Clustering Federated Learning based on Representations of Local Models
Tatsuya Kaneko, Shinya Takamaeda-Yamazaki (Tokyo Univ.) IBISML2023-49
In the current era of rapidly expanding machine learning, there has been growing concerns and awareness of data privacy ... [more] IBISML2023-49
pp.65-70
PRMU, IBISML, IPSJ-CVIM 2024-03-04
15:54
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
[Short Paper] Analyzing the dependence of crop leaf diseases and severity using machine learning models
Yuto Kawasaki, Jiaqing Liu (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2023-76
The damage caused by crop pests and diseases in the agricultural sector is enormous, and this is one of the global issue... [more] PRMU2023-76
pp.146-149
PRMU, IBISML, IPSJ-CVIM 2024-03-04
15:54
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Conversion Prediction in Internet Advertising Using the Law of Diminishing Marginal Utility
Keiya Unno (Waseda Univ.), Daichi Iwata, Hiroaki Tanaka (OPT), Masato Uchida (Waseda Univ.) PRMU2023-80
The importance of Internet advertising in marketing is increasing every year. An advertising agency is using machine lea... [more] PRMU2023-80
pp.168-173
MI 2024-03-04
14:48
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy
Jin Yu, Hidetaka Arimura, Takeshi Iwasaki, Takumi Kodama, Cui YunHao, Yoshinao Oda (Kyushu Uni.) MI2023-83
Radiation therapy is one of treatment options for lung cancer patients with early and late stages. Since the disease pro... [more] MI2023-83
pp.166-168
MI 2024-03-04
15:34
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Predicting future cognitive decline from Dual-task
Tomoya Noguchi, Shuqiong Wu, Fumio Okura, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) MI2023-86
Dementia is a progressive, hard-to-treat disease, making daily measurements of cognitive status crucial for detecting co... [more] MI2023-86
pp.176-179
 Results 21 - 40 of 2428 [Previous]  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan