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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 513  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SAT
(Joint)
2021-08-26
15:15
Online Online [Invited Lecture] Development of HAPS Backhaul System using mmWave Frequency -- HAPS as a NTN System for Beyond 5G/6G --
Hiromu Kitanozoo, Jun Suzuki (SJC), Yoshihisa Kishiyama, Yuki Hokazono (NTT DOCOMO), Takayuki Sotoyama, Mikihiro Ouchi (Panasonic), Ryu Miura, Hiroyuki Tsuji (NICT)
(To be available after the conference date) [more]
IN, CCS
(Joint)
2021-08-05
14:00
Online Online A Spectral-based Model of Polarization in Online Social Networks
Tomoya Kinoshita, Masaki Aida (Tokyo Metropolitan Univ.) CCS2021-15
(To be available after the conference date) [more] CCS2021-15
pp.1-6
CQ 2021-08-04
10:20
Online Online A Method of Service Function Chain Configuration to Minimize Computing and Network Resources for VNF Failures
Akihiko Taniguchi, Norihiko Shinomiya (Soka Univ) CQ2021-27
(To be available after the conference date) [more] CQ2021-27
pp.32-37
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
15:20
Online Online [Invited Lecture] Research and Development of Satellite Communications in Non-terrestrial Network
Hiroyuki Tsuji, Amane Miura, Morio Toyoshima (NICT) RCC2021-27 NS2021-37 RCS2021-82 SR2021-25 SeMI2021-13
In recent years, the scope of communication has expanded from people to things, and it is essential to build a three-dim... [more] RCC2021-27 NS2021-37 RCS2021-82 SR2021-25 SeMI2021-13
pp.29-33(RCC), pp.31-35(NS), pp.31-35(RCS), pp.34-38(SR), pp.13-17(SeMI)
NLC, IPSJ-ICS 2021-07-02
15:15
Online Online Analysis on Geographic Bias in Private Graphs on Twitter towards SNS Marketing Applications
Takeshi Sakaki (Hottolink), Shogo Matsuno (Gunma Univ.), Yasuhiro Hino (Hottolink) NLC2021-5
In marketing, consumers with high homogeneity have been regarded as a cluster, and the cluster has been used to target a... [more] NLC2021-5
pp.25-30
NLP, MSS
(Joint)
2021-03-15
10:45
Online Online An information diffusion model using information vitality and its statistical properties of complex networks
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) MSS2020-43
With the wide spread of social media in recent years, information transmission by individuals has become more active, an... [more] MSS2020-43
pp.1-4
NLP, MSS
(Joint)
2021-03-15
13:00
Online Online Proposal of Novel Distributed Learning Algorithms for Multi-Neural Networks
Kazuaki Harada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-58
A method for multiple neural networks (NNs) with the same structure to learn multiple sets of training data collected at... [more] NLP2020-58
pp.17-22
MI 2021-03-15
13:00
Online Online MI2020-51 (To be available after the conference date) [more] MI2020-51
pp.21-22
MI 2021-03-16
13:30
Online Online Effect of Improving Versatility of Lung Nodules Classification Model by Fine-Tuning
Taku Ri, Tatsuya Yamazaki (Niigata Univ.) MI2020-72
In order to improve the survival rate of lung cancer patients, it is important to detect nodules at an early stage, but ... [more] MI2020-72
pp.102-107
COMP 2021-03-08
09:45
Online Online On an Algorithm for minimizing the number of routers in Grid Networks among Three Points
Yusuke Sawada, Yonghwan Kim, Yoshiaki Katayama (Nitech) COMP2020-28
In this paper, we consider a route optimizing problem in grid networks. A grid network is an overlay-network which can b... [more] COMP2020-28
pp.1-8
SIS 2021-03-04
13:30
Online Online Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital), Dewake Nanae, Yasuaki Ishioka, Nobuo Yoshinari (Matsumoto Dental Univ.) SIS2020-45
Dental panoramic radiographs may show calcified areas that are a sign of vascular disease. Finding these areas in dentis... [more] SIS2020-45
pp.55-60
SIS 2021-03-04
14:30
Online Online Detection of Users Spreading Fake News Using Graph Neural Network
Soh Yoshida, Hayato Matsumoto, Mitsuji Muneyasu (Kansai Univ.) SIS2020-48
Social media has become one of the primary news sources for people around the world. However, there is an increased risk... [more] SIS2020-48
pp.71-76
IN, NS
(Joint)
2021-03-04
11:20
Online Online Wireless sensor network charging optimization by multiple chargers considering travel costs
Tomoaki Mitsuya, Ryoichi Kawahara (Toyo Univ.) IN2020-64
A wireless sensor network is expected to be used in a wide range of situations with less restrictions on sensor placemen... [more] IN2020-64
pp.61-66
IN, NS
(Joint)
2021-03-05
14:00
Online Online Multiple user cooperative mobility with an interaction position game in ad hoc networks for improving throughput
Jiquan Xie, Tutomu Murase (Nagoya Univ.) IN2020-89
Mobile ad hoc networks (MANETs) have been widely used by individuals for residential or commercial purposes in small are... [more] IN2020-89
pp.208-213
IN, NS
(Joint)
2021-03-05
14:20
Online Online A study of a tunable generative model for graph data using machine learning
Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa (Nagaoka Univ. of Tech.), Sho Tsugawa (Tsukuba Univ.), Kohei Watabe (Nagaoka Univ. of Tech.) NS2020-159
In recent years, applications and simulations using graphs are becoming more important. The graph has various features, ... [more] NS2020-159
pp.214-219
NC, MBE
(Joint)
2021-03-03
09:25
Online Online Network cores of the human functional connectome
Tomoya Taguchi, Jun Kitazono (Univ. of Tokyo), Shuntaro Sasai (Araya Inc.), Masafumi Oizumi (Univ. of Tokyo) NC2020-41
In order to understand the structure of large and complex neural networks in the brain, it is important to find the "cor... [more] NC2020-41
pp.1-6
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:15
Online Online Automatic Detection of Epileptic Abnormal EEG Using Deep Learning
Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] EA2020-62 SIP2020-93 SP2020-27
pp.15-20
SITE, IA, IPSJ-IOT [detail] 2021-03-02
10:45
Online Online Broadcasts with Tree Selection on an Overlay Network
Takeshi Kaneko, Kazuyuki Shudo (TokyoTech) SITE2020-49 IA2020-45
On an overlay network where a number of nodes work autonomously in a decentralized way, the efficiency of broadcasts has... [more] SITE2020-49 IA2020-45
pp.64-71
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
16:15
Online Online A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more]
IA 2021-01-29
14:25
Online Online A Routing Method for Range Queries Utilizing Detour Routes on Skip Graph
Yuya Miki, Takeshi Kaneko (Tokyo Tech), Ryohei Banno (Tokyo Tech/Kogakuin Univ.), Kazuyuki Shudo (Tokyo Tech) IA2020-33
A structured overlay is a technique to construct an autonomous decentralized network of nodes and to achieve efficient r... [more] IA2020-33
pp.15-20
 Results 1 - 20 of 513  /  [Next]  
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