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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 1089 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
11:35
Okinawa Okinawa Convention Center Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems
Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] IN2023-87
pp.130-135
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
11:00
Hokkaido Hokkaido Univ. Improving Adversarial Robustness in Continual Learning
Koki Mukai, Soichiro Kumano (UTokyo), Nicolas Michel (UGE/CNRS/LIGM), Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2023-48 IE2023-37
The goal of continual learning is to prevent catastrophic forgetting. However, few studies have simultaneously considere... [more] ITS2023-48 IE2023-37
pp.13-18
AP 2024-02-16
15:00
Mie Sinfonia Technology Hibiki Hall Ise
(Primary: On-site, Secondary: Online)
[Invited Lecture] Propagation loss prediction method by machine learning and ray-tracing for indoor environments
Takayuki Nakanishi, Kenya Shimizu (MELCO), Kenzaburo Hitomi (MEE), Yasuhiro Nishioka, Yoshio Inasawa (MELCO) AP2023-197
Radio propagation estimation is important for improving the stability and reliability of wireless communications. Howeve... [more] AP2023-197
pp.50-55
UWT
(2nd)
2024-01-29
16:40
Tokyo Tokai University Shinagawa Campus
(Primary: On-site, Secondary: Online)
Estimation of the modulation method ratio for time-domain hybrid PAM signals using machine learning
Ayumu Kariya, Fumiya Kobori, Keita Tanaka, Takahiro Kodama (Kagawa Univ.)
We propose a transmission capacity estimation method for time-domain hybrid PAM schemes with variable transmission capac... [more]
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-25
10:03
Kanagawa Keio Univ. (Hiyoshi Campus) Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images
Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] PRMU2023-40
pp.7-12
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-25
14:40
Kanagawa Keio Univ. (Hiyoshi Campus) Efficient exploration with intrinsic motivation considering state transitions in deep reinforcement learning
Kaito Ohshika, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2023-42
In deep reinforcement learning, learning data is collected through the interaction between the agent and the environment... [more] PRMU2023-42
pp.14-19
ICTSSL, CAS 2024-01-25
10:20
Kanagawa
(Primary: On-site, Secondary: Online)
Using Deep Learning to Recognize and Determine the State of Snow on LED Traffic Signals Regardless of the Outside Environment and Its Application
Megumi Matsuzaka, Tsubasa Saito, Yuichi Sato (Akita Univ.) CAS2023-84 ICTSSL2023-37
Currently, the use of LEDs in traffic signals is being promoted for various advantages. However, due to the characterist... [more] CAS2023-84 ICTSSL2023-37
pp.11-16
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
09:00
Tokushima Naruto University of Education The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance
Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] NLP2023-99 MICT2023-54 MBE2023-45
pp.78-81
ET 2024-01-20
13:35
Kyoto Kyoto University Yoshida Campus / Online
(Primary: On-site, Secondary: Online)
Evaluation of the Impact on Mentors in a Mentalization Support System for Generating Questions to Mentee
Kaisei Ominami, Shota Tatarai, Kohei Okuoka (Nihon Univ.), Kosuke Sasaki, Masakazu Moriguchi, Hisashi Noda (NECSI), Takashi Omori, Masahiko Osawa (Nihon Univ.) ET2023-46
To reduce the burden on educators in inquiry-based learning, we realize a support system to deepen the mentee’s question... [more] ET2023-46
pp.5-9
ET 2024-01-20
15:55
Kyoto Kyoto University Yoshida Campus / Online
(Primary: On-site, Secondary: Online)
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism
Ayaka Suzuki, Masaki Uto (UEC) ET2023-51
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] ET2023-51
pp.38-44
EMCJ 2024-01-19
11:10
Kumamoto   Estimation of the number of people transported by ambulance for different illness in Nagoya City
Haruto Ueta, Kota Ogawa, Sachiko Kodera, Akimasa Hirata (Nitech) EMCJ2023-91
In Japan, there has been a rapid progression of aging, giving rise to various anticipated challenges. A high proportion ... [more] EMCJ2023-91
pp.21-26
AP, WPT
(Joint)
2024-01-17
15:25
Niigata Tokimate, Niigata University
(Primary: On-site, Secondary: Online)
[Invited Lecture] A Method for Estimating Ray-Tracing Parameters Using Machine Learning -- A Study in Indoor Environment Using Point Cloud Data --
Satoshi Iwasaki, Kento Sugiyama, Yukiko Kishiki (KKE) AP2023-164
Radio propagation analysis using the ray tracing method is used in various situations because various radio propagation ... [more] AP2023-164
pp.24-29
AP, WPT
(Joint)
2024-01-19
15:25
Niigata Tokimate, Niigata University
(Primary: On-site, Secondary: Online)
[Invited Lecture] Radio Propagation Modeling Using CNN with Rectangular Map Data
Tatsuya Nagao, Takahiro Hayashi (KDDI Research, Inc.) AP2023-184
Recently, machine learning-based methods using environmental information as features have been proposed to model site-sp... [more] AP2023-184
pp.126-130
DE, IPSJ-DBS 2023-12-26
14:00
Tokyo Institute of Industrial Science, The University of Tokyo Interpretation of unsupervised clustering based on XAI
Yu Sasaki, Fumiaki Saitoh (CIT) DE2023-28
Explainable Artificial Intelligence (XAI) aims to introduce transparency and interpretability into the decision-making o... [more] DE2023-28
pp.1-6
EA, US
(Joint)
2023-12-23
10:05
Fukuoka   Inspection of Fat Content in Frozen Albacore Using Multi-Channel A-Mode Ultrasound
Suguru Yasutomi, Akira Sakai (Fujitsu), Masafumi Yagi (Tokai Univ.), Kanata Suzuki (Fujitsu), Hiroki Kashikura, Shuichiro Abe, Kaito Nakamura, Yuya Arai, Yuki Tajima, Keiichi Goto (Tokai Univ.) US2023-68
Albacore is a commercially important fish in Japan. Traditionally, experts determine its value by cutting and ob- servin... [more] US2023-68
pp.68-73
ITS, WBS, RCC 2023-12-21
10:15
Okinawa
(Primary: On-site, Secondary: Online)
Platoon control to satisy string stability by local model
Ryota Nakai, Kazumune Hashimoto, Shigemasa Takai (Osaka Uni) WBS2023-33 ITS2023-16 RCC2023-27
This research focuses on platoon control through the introduction of a sophisticated controller incorporating Long Short... [more] WBS2023-33 ITS2023-16 RCC2023-27
pp.31-36
IBISML 2023-12-20
15:20
Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)
Stabilization and Acceleration of Stochastic Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix
Masazumi Iida, Yoshinari Takeishi (Kyushu Univ.), Siyang Wang (Umea Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-32
By using approximated eigen-decomposition of the Fisher information matrix, the Stabilizer method was recently developed... [more] IBISML2023-32
pp.13-17
ET 2023-12-16
14:20
Okayama Tsushima Campus,Okayama University Design and Development of AR Based Learning Materials for the ``Digitization of Information'' Unit
Riho Sakaguchi, Mizue Kayama, Nobuyuki Tachi (Shinshu Univ.), Takashi Nagai (IoT) ET2023-41
In this study, we propose an Augmented Reality (AR) teaching material for the ''Digitalization of Information'' unit. We... [more] ET2023-41
pp.28-33
NS, RCS
(Joint)
2023-12-14
16:50
Fukuoka Kyushu Institute of Technology Tobata campus, and Online
(Primary: On-site, Secondary: Online)
Dueling Networks Architecture in the Deep Reinforcement Learning for the Automated ICT System Design
Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura, Hiroyuki Hochigai (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.) NS2023-135
This paper presents a reinforcement learning based approach for the design of ICT systems. The automated ICT system desi... [more] NS2023-135
pp.54-59
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Compact Emotional Space Simulating Human Percieve of Emotion Based on Crossmodal Contrastive Learning with Softlabel
Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech)
This study aims to explore data-driven emotion modeling by extracting the latent space of emotions from human emotion ex... [more]
 Results 41 - 60 of 1089 [Previous]  /  [Next]  
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