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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 112 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-16
15:00
Online Online Automatic Classification of Respiratory Sounds using HPSS
Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU) MI2020-77
In this paper, we propose a new automatic classification method of respiratory sounds to support the diagnosis of respir... [more] MI2020-77
pp.128-133
BioX, CNR 2021-03-02
15:30
Online Online Visual place recognition from eye reflection
Yuki Ohshima, Kyosuke Maeda, Yusuke Edamoto, Atsushi Nakazawa (Kyoto Univ.) BioX2020-48 CNR2020-21
The cornea in the human eye reflects incoming environmental light, which means we can obtain information about the surro... [more] BioX2020-48 CNR2020-21
pp.44-49
MI 2020-09-03
14:55
Online Online Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network
Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31
Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal agi... [more] MI2020-31
pp.63-67
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
14:15
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Detection of Mutation of Driver Gene Information from Thoracic CT Images Based on Deep Radiomics
Yuta Yoshifuku (KIT), Takashi Terasawa (UOEH), Huimin Lu, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH) IMQ2019-22 IE2019-104 MVE2019-43
(To be available after the conference date) [more] IMQ2019-22 IE2019-104 MVE2019-43
pp.35-39
RCS, SR, SRW
(Joint)
2020-03-04
09:40
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
Improvement of Communication Performance in the Manufacturing Field by Subdividing One Channel of Wireless LAN into Narrow Channels
Fumiko Ohori, Satoko Itaya, Toru Osuga, Taketoshi Nakajima, Kenichi Maruhashi, Fumihide Kojima (NICT) RCS2019-342
IoT devices receive a lot of attention at factory sites and devices with wireless communications tend to increase. Howev... [more] RCS2019-342
pp.123-128
SP, EA, SIP 2020-03-02
13:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Development of Distributed Wireless Synchronous Recording System for Event Detection
Taku Kitajima, Kan Okubo, Norio Tagawa (TMU) EA2019-116 SIP2019-118 SP2019-65
In recent years, computers have become smaller and simpler, and it has become possible to easily configure communication... [more] EA2019-116 SIP2019-118 SP2019-65
pp.89-93
IMQ 2019-12-20
16:20
Tokyo   A Preliminary Study on BTF Image Database Generation using Deep Learning
Naoki Tada, Keita Hirai (Chiba Univ.) IMQ2019-10
A method using Bidirectional Texture Function (BTF) is one of the methods to reproduce a realistic image in Computer Gra... [more] IMQ2019-10
pp.3-8
COMP 2019-12-13
09:00
Gunma Ikaho Seminar House, Gunma University COMP2019-29 The goal of the distributed slicing problem is to partition the nodes of a network into $k$ groups depending on the glo... [more] COMP2019-29
pp.1-7
IMQ 2019-10-04
14:50
Osaka Osaka University Supporting Colonoscope System for Diagnosis of Depth of Invasion Using Deep Learning and Its Visualization
Nao Ito, Toshiya Nakaguchi (Chiba Univ.), Hiroshi Kawahira (Jichi Medical Univ.), Yuichiro Yoshimura (Chiba Univ.), Hirotaka Nakashima (Kayabacho Clinic), Masaya Uesato, Gaku Ohira, Hideaki Miyauchi, Hisahiro Matsubara (Chiba Univ.) IMQ2019-8
Colorectal cancer has a high morbidity and is the second most common cancer death in Japan, and is required to be detect... [more] IMQ2019-8
pp.19-26
NC, MBE
(Joint)
2019-03-05
16:15
Tokyo University of Electro Communications Performance improvement of fNIRS-BCI using generative adversarial networks
Tomoyuki Nagasawa (Nagaoka Univ. of Tech.), Takanori Sato (National Inst. of Tech., Akita Col.), Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) NC2018-72
Since a lengthy functional near-infrared spectroscopy (fNIRS) measurement is uncomfortable for the participant, the numb... [more] NC2018-72
pp.151-156
PRMU, CNR 2019-03-01
09:30
Tokushima   Point cloud deep learning for estimating 3-D rigid body transformation
Yukihiro Toda, Naoya Chiba, Koichi Hashimoto (Tohoku Univ.) PRMU2018-123 CNR2018-46
6D pose estimation is an important task in the research field of robot vision. Pose estimation is used in picking task i... [more] PRMU2018-123 CNR2018-46
pp.49-52
SRW 2019-01-15
15:40
Kanagawa Mitsubishi Electric (Oofuna) [Invited Talk] Distributed Edge Computing Accelerated by Wireless Backhaul
Hiroshi Furukawa (PicoCELA) SRW2018-54
Large scale deployment of small cells is the key factor to let 5G cellular systems succeed. Backhaul network is barrier ... [more] SRW2018-54
pp.49-52
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-05
10:20
Hiroshima Satellite Campus Hiroshima Prototyping of Real-time Computer-Aided Diagnosis System for Colorectal Endoscopic Movies and Images with Machine Learning
Takumi Okamoto, Masayuki Odagawa, Koujiroh Takebayashi, Mikihisa Nagano, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (JR Hiroshima Hospital), Shinji Tanaka (Hiroshima Univ.), Takayuki Sugawara, Hiroshi Toishi, Masayuki Tsuji, Nobuo Tamba (Cadence, Japan) VLD2018-42 DC2018-28
In this paper, we discuss prototyping of real-time computer-aided diagnosis (CAD) system for colorectal endoscopic movie... [more] VLD2018-42 DC2018-28
pp.13-18
IA 2018-11-28
16:05
Tokyo Akihabara Convention Hall, 5th Floor (Conference Room 5B) Scalable ARP Snooping Using Policy Based Mirroring of Core Switches
Motoyuki Ohmori, Naoki Miyata (Tottori Univ.) IA2018-39
In order to handle a computer security incident or network failure, it is important to grasp a list of pairs of IP addre... [more] IA2018-39
pp.23-27
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] 3D-Skeleton-Based Human Action Recognition with a Combination of Random Convolutional Networks and Echo State Networks
Zhiqiang Tong, Gouhei Tanaka (Univ. of Tokyo) IBISML2018-99
Recognition of human action patterns from sequential data has been intensively studied in recent years. Although many ma... [more] IBISML2018-99
pp.411-417
NC, MBE
(Joint)
2018-10-19
16:25
Miyagi Tohoku Univ. A Study on Detecting Event Related Potential P300 Converted to Frequency Component using Convolutional Neural Network
Takahiro Takeichi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2018-18
P300 is an event related potential in the electroencephalogram (EEG) elicited by visual or sound stimulus and used for P... [more] NC2018-18
pp.27-32
IN, ICTSSL, NWS
(Joint) [detail]
2018-10-18
16:40
Kagawa Takamatsu Shoko Kaigisyo Kaikan [Invited Talk] A Design of Information Infrastructure in Kagawa University -- Comprehensive Approach based on Technological, Physical, Human, Organizational perspectives --
Yusuke Kometani (Kagawa Univ.) ICTSSL2018-26 IN2018-43
To construct a good information infrastructure, selection of technologies and management methods suitable for an organiz... [more] ICTSSL2018-26 IN2018-43
pp.1-6
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2018-07-30
09:30
Kumamoto Kumamoto City International Center Performance Evaluation of MPI Parallel Program on Android Cluster with Wireless Network
Hiroki Sugiyama, Kanemitsu Ootsu, Takeshi Ohkawa, Takashi Yokota (Utsunomiya Univ.) CPSY2018-13
Recently, many mobile devices including smartphones and table devices employs multi-core processor and GPU and have adva... [more] CPSY2018-13
pp.1-6
MBE, NC
(Joint)
2018-03-14
10:50
Tokyo Kikai-Shinko-Kaikan Bldg. An examination about discrimination of imagined individual finger movements using EEG
Tetsuro Hayashi, Hiroshi Yokoyama, Carabez Eduardo, Isao Nambu, Yasuhiro Wada (NUT) MBE2017-102
The objective of this study is to examine the feasibility of finger discrimination using single-trial electroencephalogr... [more] MBE2017-102
pp.109-112
MBE, NC, NLP
(Joint)
2018-01-26
13:00
Fukuoka Kyushu Institute of Technology A study on Detecting Event Related Potential P300 through Weighted Ensemble Learning using Convolutional Neural Network
Takahiro Takeichi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-50
The event related potential P300 in the electroencephalogram (EEG) elicited by visual stimulus is used for P300 speller ... [more] NC2017-50
pp.1-4
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