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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2017-06-23
09:50
Okinawa Ishigaki Shoukou Kaikan Performance Improvement Schemes of Channel Sounders Using M Sequences for Acoustic Communications
Mai Nakatsuka, Kouki Nakatsukasa, Souichiro Morita, Akinobu Murayama (Ritsumeikan Univ.), Tadashi Kondo (JR East), Hiroshi Kubo (Ritsumeikan Univ.) RCS2017-79
 [more] RCS2017-79
pp.173-178
LQE, EST, OPE, EMT, PN, MWP, IEE-EMT, PEM [detail] 2016-01-29
15:40
Hyogo   Proposal of Nonlinear Optical Thresholder Consisting of Two Cascaded MZIs with Micro-Ring Resonators
Tadashi Kondo, Hiroki Kishikawa, Nobuo Goto (Tokushima Univ.) PN2015-85 EMT2015-136 OPE2015-198 LQE2015-185 EST2015-142 MWP2015-111
We propose a novel optical thresholder having a flat power transfer function both in low-level and high-level output. Th... [more] PN2015-85 EMT2015-136 OPE2015-198 LQE2015-185 EST2015-142 MWP2015-111
pp.313-318
IBISML 2013-07-18
15:40
Tokyo Nishiwaseda Campus (Waseda univ.) Computer aided image diagnosis system using artificial intelligence for X-ray CT image
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) IBISML2013-11
A computer aided image diagnosis system using artificial intelligence for X-ray CT image is developed. In this system, a... [more] IBISML2013-11
pp.75-80
IE 2013-04-26
16:15
Tokyo Chuo Univ. Multi-layered GMDH-type neural network using Predicton Sum of Square (PSS) and its application to medical image diagnosis of liver cancer
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) IE2013-7
(To be available after the conference date) [more] IE2013-7
pp.35-40
KBSE 2013-01-29
12:00
Tokyo Kikai-Shinko-Kaikan Bldg Multi-layered GMDH-type neural network algorithm using Prediction Sum of Squares (PSS) criterion and Its application to nonlinear system identification
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2012-64
In this study, a revised Group Method of Data Handling (GMDH)-type neural network using Prediction Sum of Squares (PSS) ... [more] KBSE2012-64
pp.35-40
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-02
11:00
Tokyo   Medical image diagnosis of liver cancer by revised GMDH-type neural network self-organizing neural network architectures using heuristic self-organization
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) PRMU2012-32 IBISML2012-15
In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-organizing neural network archit... [more] PRMU2012-32 IBISML2012-15
pp.17-22
KBSE 2012-05-26
13:30
Kanagawa Keio University Revised GMDH-type neural network algorithm using prediction error criterion defined as AIC
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2012-9
In this study, a revised Group Method of Data Handling (GMDH)-type neural network algorithm using prediction error crite... [more] KBSE2012-9
pp.49-54
IE 2012-04-27
09:00
Tokyo Seikei University Medical image diagnosis of lung cancer by revised GMDH-type neural network self-organizing multi-layered artificial neural network architecture
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) IE2012-1
In this study, a revised GMDH-type neural network algorithm self-organizing multi-layered artificial neural network arch... [more] IE2012-1
pp.1-6
KBSE 2012-01-23
10:30
Tokyo Kikai-Shinko-Kaikan Bldg. Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using artificial intelligence
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2011-53
A multi-layered Group Method of Data Handling (GMDH)-type neural network algorithm using artificial intelligence is prop... [more] KBSE2011-53
pp.1-6
KBSE 2012-01-23
11:10
Tokyo Kikai-Shinko-Kaikan Bldg. Medical image diagnosis of lung cancer by feedback GMDH-type neural network self-selecting optimum neuron architectuere
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2011-54
In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neuron archite... [more] KBSE2011-54
pp.7-12
MBE 2011-07-08
13:00
Tokushima The University of Tokushima Medical image diagnosis of lung cancer by revised GMDH-type neural network self-organizing neural network architecture
Tadashi Kondo (Tokushima Univ.) MBE2011-20
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network ... [more] MBE2011-20
pp.1-6
MBE 2011-07-08
13:25
Tokushima The University of Tokushima Medical image diagnosis of liver cancer by feedback GMDH-type neural network
Tadashi Kondo (Tokushima Univ.) MBE2011-21
A revised Group Method of Data Handling (GMDH)-type neural network algorithm using artificial intelligence technology fo... [more] MBE2011-21
pp.7-12
MI 2010-07-09
13:40
Tokushima Tokusima Univ. Kogyo-Kaikan Bldg. Medical image diagnosis of liver cancer using the revised GMDH-type neural network
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) MI2010-42
A revised Group Method of Data Handling (GMDH)-type neural network algorithm for medical image diagnosis is proposed and... [more] MI2010-42
pp.27-32
MI 2009-07-15
15:50
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Revised GMDH-type neural network self-organizing optimum neural network architecture and its application to 3-dimensional medical image recognition of heart region
Tadashi Kondo, Junji Ueno (Tokushima Univ.) MI2009-50
In this study, a revised GMDH-type neural network algorithm self-organizing the optimum neural network architecture is a... [more] MI2009-50
pp.57-62
MBE 2009-07-11
09:50
Tokushima The University of Tokushima Feedback GMDH-type neural network algorithm for medical image analysis and its application to multi-slice CT image analysis of the heart
Tadashi Kondo (Univ. of Tokushima.) MBE2009-24
A feedback Group Method of Data Handling (GMDH)-type neural network algorithm for medical image analysis is proposed and... [more] MBE2009-24
pp.27-32
COMP 2008-05-13
13:20
Fukuoka Kyushu Sangyo University GMDH-type neural network algorithm self-selecting optimum neural network architecture and its application to medical image recognition
Tadashi Kondo (Tokushima Univ.) COMP2008-10
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network ... [more] COMP2008-10
pp.17-24
MBE 2007-07-20
13:25
Tokushima   Three dimensional medical image recognition by revised GMDH-type neural network self-selecting optimum network architecture
Tadashi Kondo (Tokushima Univ.) MBE2007-24
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network ... [more] MBE2007-24
pp.17-20
MBE 2005-07-30
16:10
Tokushima   Medical image recognition by self-selecting algorithm for optimum neural network architecture
Tadashi Kondo (Tokushima Univ.)
 [more] MBE2005-52
pp.53-56
 Results 1 - 18 of 18  /   
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