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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 617 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-30
10:45
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Yuki Takezawa, Ryoma Sato, Han Bao (Kyoto Univ./OIST), Kenta Niwa (NTT CS Lab.), Makoto Yamada (OIST) NC2023-14 IBISML2023-14
Decentralized learning has recently been attracting increasing attention for its applications in parallel computation an... [more] NC2023-14 IBISML2023-14
pp.83-90
SIS, IPSJ-AVM [detail] 2023-06-15
11:10
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
A New Detection Method of Calcification Regions in Dental Panoramic Radiograph and Application of MTL in Its Learning
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-2
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] SIS2023-2
pp.7-12
SIS, IPSJ-AVM [detail] 2023-06-15
11:35
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
Detection of Calcification Regions from Dental Panoramic Radiograph Based on Semantic Segmentation Using Transformers
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-3
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] SIS2023-3
pp.13-18
PN, NS, OCS
(Joint)
2023-06-09
10:15
Kagawa
(Primary: On-site, Secondary: Online)
Demonstration of Optical Network Tomography with Software Prototype -- Anomaly Loss Monitoring and Fiber-Type Identification --
Ryu Shinzaki, Motohiko Eto, Kazuyuki Tajima, Kyosuke Sone, Setsuo Yoshida, Shoichiro Oda (Fujitsu), Inwoong Kim, Olga Vassilieva, Paparao Palacharla (FNC), Takeshi Hoshida (Fujitsu) OCS2023-18
As a monitoring technology for maintenance and operation efficiency improvement of the optical network system, we have i... [more] OCS2023-18
pp.57-62
CPSY, DC, IPSJ-ARC [detail] 2023-06-05
14:40
Ehime Nigitatsu-Kaikan
(Primary: On-site, Secondary: Online)
CPSY2023-3 DC2023-3  [more] CPSY2023-3 DC2023-3
pp.8-13
CS, CQ
(Joint)
2023-05-18
15:35
Kagawa Rexxam Hall (Kagawa Kenmin Hall)
(Primary: On-site, Secondary: Online)
Area Partitioning for Large Scale Antenna Tilt Optimization in Cellular Networks
Hideaki Kinsho, Kei Takeshita, Kazuhisa Yamagishi (NTT) CQ2023-2
For mobile carriers, improving the QoS (Quality of Service), such as throughput, of cellular networks to provide comfort... [more] CQ2023-2
pp.7-12
ICM 2023-03-17
10:40
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
[Invited Talk] Introduction of trial on network design for mission-critical video contribution services
Nobuaki Kadowaki, Yosuke Tanaka, Masao Nishie (NTT Com) ICM2022-54
Our infrastructure all over Japan has provided real-time video transmission services that delivers live video securely i... [more] ICM2022-54
pp.55-60
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
10:10
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Preliminary Investigation on the Effectiveness of Graph Exploration Methods for Finding Target Nodes in Unknown Graphs
Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2022-81
In this paper, we tackle a problem of finding target nodes with a specific attribute in an unknown graph. We examine th... [more] CQ2022-81
pp.7-12
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
11:00
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Evaluating the Efficiency of Anomaly Detection Methods for Temporal Networks Using the Graph Spectrum
Masataka Nagao, Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2022-83
LAD (Laplacian Anomaly Detection) is a method for detecting anomalies in dynamic networks using the eigenvalues (the gra... [more] CQ2022-83
pp.19-24
NC, MBE
(Joint)
2023-03-14
09:30
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method
Daichi Sugiyama, Hiroki Kurashige (Tokai Univ.) NC2022-99
Humans and animals can learn multiple tasks. It is common that learning to learn tasks sequentially. However, it is not ... [more] NC2022-99
pp.42-47
IN, NS
(Joint)
2023-03-02
10:00
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Resource-Efficient and Availability-Aware Virtual Network Function Placement and Service Chaining with Virtual Network Function Diversity and Redundancy
Kento Sugihara, Takanori Hara, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2022-167
To realize network services in the NFV network, we first construct a service chain graph which consists of virtual nodes... [more] NS2022-167
pp.1-6
SIS 2023-03-02
13:50
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
Improved accuracy of fake news detection through user stance analysis
Kayato Soga, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2022-44
The spread of fake news has become a serious social problem. In recent years, propagation-based fake news detection meth... [more] SIS2022-44
pp.21-26
PN 2023-03-01
16:40
Okinawa
(Primary: On-site, Secondary: Online)
[Invited Lecture] Multi-band Optical Networks that Adopt Flexible Waveband Routing
Ryuji Munakata, Takuma Kuno, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2022-49
Multi-band optical transmission has been extensively studied as further capacity enhancement over current transmission o... [more] PN2022-49
pp.38-42
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
RCS, SR, SRW
(Joint)
2023-03-03
09:30
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
[Short Paper] Performance Evaluation on Split Learning Assisted Multi-UAV System for Image Classification Task
Sun Tingkai, Wang Xiaoyan (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2022-93
Due to its ease of deployment and high mobility, unmanned aerial vehicles (UAVs) have gained popularity for a variety of... [more] SR2022-93
pp.44-46
HWS, VLD 2023-03-04
11:55
Okinawa
(Primary: On-site, Secondary: Online)
Cloud Based Evaluation of Communication Bandwidth and Tracking Time of Traceable Aggregate Signature Protocols
Koudai Aoyama, Riku Anzai, Junichi Sakamoto, Naoki Yoshida, Tsutomu Matsumoto (Yokohama National Univ.) VLD2022-119 HWS2022-90
Traceable Aggregate Signature is a scheme that has the ability to identify the source of an illegal signature if it is i... [more] VLD2022-119 HWS2022-90
pp.257-260
DC 2023-02-28
14:25
Tokyo Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online)
Test Point Selection Method Using Graph Neural Networks and Deep Reinforcement Learning
Shaoqi Wei, Kohei Shiotani, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2022-87
It is well known that selecting the optimal test point to maximize the fault coverage is NP-hard. Conventional heuristic... [more] DC2022-87
pp.27-32
SeMI, IPSJ-UBI, IPSJ-MBL 2023-03-01
16:40
Aichi
(Primary: On-site, Secondary: Online)
Study of Deep Reinforcement Learning for Wireless Multihop Networks
Cui Zhihan, Khun Aung thura phyo, Lim Yuto, Tan Yasuo (JAIST) SeMI2022-113
In beyond 5G network, the device-to-device communications has been actively studied. These devices are wirelessly connec... [more] SeMI2022-113
pp.37-42
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:45
Hokkaido Hokkaido Univ. A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
13:00
Hokkaido Hokkaido Univ. Fast designing method of additional patterns in self-referential holographic data storage -- Approach using deep neural network --
Kazuki Chijiwa, Masanori Takabayashi (Kyushu Inst. of Tech.)
In self-referential holographic data storage (SR-HDS) known as a purely one-beam holographic recording method, it has be... [more]
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