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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 2439 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:05
Okinawa
(Primary: On-site, Secondary: Online)
Study of Sound Source Localization for Disaster Survivor Search Using Quadcopters -- An Analysis of Factors Related to MUSIC Algorithm through Environmental Modeling with PyRoomAcoustics --
Masachika Kamada (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Yasuhiro Oikawa, Hiroshi G Okuno, Jun Ohya (Waseda Univ.) EA2023-73 SIP2023-120 SP2023-55
This study aims to revolutionize lifesaving efforts during disasters by developing an accurate sound source localization... [more] EA2023-73 SIP2023-120 SP2023-55
pp.73-78
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:25
Okinawa
(Primary: On-site, Secondary: Online)
Development of the mental disorder estimation model using voice
Kaho Kato, Akihiko Takashima, Kei Kikuiri, Takeshi Yoshimura (NTT docomo) EA2023-74 SIP2023-121 SP2023-56
It is known that early dealing with psychological stress prevents the mental disorder such as depression from developing... [more] EA2023-74 SIP2023-121 SP2023-56
pp.79-84
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
15:10
Okinawa
(Primary: On-site, Secondary: Online)
Byzantine attack detection via similarity of local updates in federated learning
Kenta Ohno, Masao Yamagishi (Hosei Univ.) EA2023-86 SIP2023-133 SP2023-68
We propose a method to detect Byzantine attacks in federated learning, as well as a method for identifying clients repea... [more] EA2023-86 SIP2023-133 SP2023-68
pp.150-155
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
A study on loom operation analysis using acoustic signals for abnormality detection
Shinji Sako (NITech) EA2023-107 SIP2023-154 SP2023-89
In the textile industry, DXing of high-quality inspections at factories is essential from the perspective of improving p... [more] EA2023-107 SIP2023-154 SP2023-89
pp.274-276
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
15:25
Okinawa
(Primary: On-site, Secondary: Online)
Acoustic morphing based on autoencoder for piano scale and reverberation
Yuma Hakoda, Takao Tsuchiya (Doshisha Univ.) EA2023-121 SIP2023-168 SP2023-103
In game audio, it is common for sound designers to manually express game sounds that change dynamic in game scenes. They... [more] EA2023-121 SIP2023-168 SP2023-103
pp.346-351
SeMI, IPSJ-UBI, IPSJ-MBL 2024-02-29
15:50
Fukuoka   Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River
Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.) SeMI2023-77
Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice ga... [more] SeMI2023-77
pp.37-41
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Analysis of Wireless Link for Mobile Communication Devices Using a Machine Learning Model
Yuki Kanto, Kohei Watabe (Nagaoka Univ. of Tech.) IN2023-67
In recent years, mobile communication devices have been providing various services via high-speed and high-capacity wire... [more] IN2023-67
pp.13-18
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Model Shifting Method in Federated Learning Using Distillation
Hiromichi Yajima (SIT), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki (SIT) NS2023-186
Due to the drastic increase in the data for machine learning, distributed machine learning such as federated learning ha... [more] NS2023-186
pp.86-89
NS, IN
(Joint)
2024-02-29
11:10
Okinawa Okinawa Convention Center An unsupervised online learning-based traffic classification and anomaly detection method for 5G-IIoT systems
Yuxuan Shi, Qianqian Pan, Akihiro Nakao (U Tokyo) NS2023-188
In the context of Society 5.0, the evolution of the Internet of Things (IoT) and its ever growing demands of massive Mac... [more] NS2023-188
pp.96-102
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