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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 998  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
14:50
Hokkaido RUSUTSU RESORT Dependence on Complexity of Nonlinear Functions for Augmented DFA Method in Deep Learning Based on Optoelectronic Delay System
Yuto Nagatsuka, Rin Nogami (Saitama Univ.), Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.), Atsushi Uchida, Kazutaka Kanno (Saitama Univ.) CCS2023-46
Increasing energy costs in deep learning have led to proposals for fast and efficient optical deep learning hardware. Th... [more] CCS2023-46
pp.42-47
ICM 2024-03-21
09:20
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Intuitive Interaction System Based on Leg Movement Recognition Using Chair-embedded Camera
Kaito Hamagaki, Shingo Ata, Manato Fujimoto (Osaka Metropolitan Univ.) ICM2023-45
Virtual Reality (VR) technology has rapidly evolved, expanding into education, healthcare, and entertainment, offering u... [more] ICM2023-45
pp.1-6
EMCJ, MICT
(Joint)
2024-03-15
10:55
Shimane   Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data
Tatsunoshin Shinmi (The Univ. of Electro-Communications), Naoya Tokiwa (RAKUS Partners), Junichi Shibata, Toshikazu Suzuki (iD), Takehiko Kashiwagi (The Univ. of Electro-Communications), Tatsuya Moe (RAKUS Partners), Kaito Kamura, Hyuta Onuma, Shunichi Tano, Yasuhiro Minami (The Univ. of Electro-Communications) MICT2023-79
Behavioral and psychological symptoms of dementia (BPSD) that develop in patients with dementia not only impose a heavy ... [more] MICT2023-79
pp.12-16
CAS, CS 2024-03-14
16:20
Okinawa   An Approximate Solution Using K-Shortest Path and Reinforcement Learning for a Load Balancing Problem in Communication Networks
Himeno Takahashi, Norihiko Shinomiya (Soka Univ.) CAS2023-123 CS2023-116
In recent years, the amount of data traffic in information and communication networks has been increasing and the risk o... [more] CAS2023-123 CS2023-116
pp.70-73
SIS 2024-03-15
12:20
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
Extension of decision transformer model for controlling future reward and motion control
Taisei Inada, Shigeru Kubota (Yamagata Univ.) SIS2023-58
In the field of control, reinforcement learning is sometimes required to dynamically adjust the speed of automatic drivi... [more] SIS2023-58
pp.73-76
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
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
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
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
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
10:30
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification
Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.) IMQ2023-70 IE2023-125 MVE2023-99
In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] IMQ2023-70 IE2023-125 MVE2023-99
pp.313-318
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
MI 2024-03-03
10:17
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Electric field regression from head MR image by transformers for TMS
Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] MI2023-36
pp.21-24
MI 2024-03-03
11:28
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Recognition of Tooth Types in Dental Panoramic Radiographs Containing Deciduous Teeth Using CNN-based Object Detection
Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Osaka Univ.), Ryo Takahashi, Tatsuro Hayashi (EyeTech), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2023-41
Panoramic radiographs are widely used in dentistry. However, checking each tooth and recording it in the patient's denta... [more] MI2023-41
pp.34-35
AI 2024-03-01
15:00
Aichi Room0221, Bldg.2-C, Nagoya Institute of Technology Performance Improvement in Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning
Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.) AI2023-42
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] AI2023-42
pp.31-36
R 2024-02-29
17:10
Shimane   Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Wiener and Jump Diffusion Processes
Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-63
In many research fields, the methods based on deep learning have been proposed. In this paper, we propose the method of ... [more] R2023-63
pp.46-51
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:20
Okinawa
(Primary: On-site, Secondary: Online)
Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN
Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70
We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] EA2023-88 SIP2023-135 SP2023-70
pp.162-167
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 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
11:35
Okinawa Okinawa Convention Center Real-time Application Identification Scheme and Evaluation Method Using Machine Learning
Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) NS2023-189
With the diversification of mobile applications, the implementation of priority control that meets the communication req... [more] NS2023-189
pp.103-108
NS, IN
(Joint)
2024-03-01
14:15
Okinawa Okinawa Convention Center Ransomware Detection using Traffic Features in SDN
Ken Tanase, Kunio Akashi, Yuji Sekiya, Hiroshi Nakamura (Tokyo Univ.) NS2023-237
In recent years, ransomware has emerged as a significant threat to information security in organizations.
A particular... [more]
NS2023-237
pp.385-390
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