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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2023-03-15
10:20
Yamaguchi
(Primary: On-site, Secondary: Online)
Designing for Supply Chain Network Model with Disruption Risks by Hybrid GA and Jaya Algorithm with Fuzzy Logic Controller
Mitsuo Gen (FLSI), YoungSu Yun, Tserendulam Erdenebaatar (Chosun Univ.) IT2022-113 ISEC2022-92 WBS2022-110 RCC2022-110
 [more] IT2022-113 ISEC2022-92 WBS2022-110 RCC2022-110
pp.282-289
NLP, NC
(Joint)
2020-01-24
17:05
Okinawa Miyakojima Marine Terminal [Invited Talk] Neocognitron: Deep Convolutional Neural Network
Kunihiko Fukushima (FLSI) NLP2019-100
Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognit... [more] NLP2019-100
pp.79-82
EMCJ, MW, EST, IEE-EMC [detail] 2019-10-25
14:05
Miyagi Tohoku Gakuin University(Conf. Room 2, Eng. Bldg. 1) Estimation on Complex Dielectric Constants of Meats Using Ring Resonator Type of Electrode at Centimeter Frequencies for CTC Detection Application
Shouta Sora, Futoshi Kuroki, Masanori Eguchi (NIT, Kure College), Takeshi Yamakawa (FLSI), Fumihiro Tanaka (UOEH) EMCJ2019-62 MW2019-91 EST2019-70
Identifying circulating tumor cell (CTC) from the blood and investigating the conditions of the CTCs, the early diagnosi... [more] EMCJ2019-62 MW2019-91 EST2019-70
pp.147-150
MW, ICD 2019-03-15
16:45
Okinawa   A Consideration on Improvement of Detection Efficiency for Circulating Tumor Cell Using Ring-resonator Type of Electrode
Shouta Sora, Kousei Kumahara, Futoshi Kuroki, Masanori Eguchi (NIT, Kure college), Takeshi Yamakawa (FLSI), Fumihiro Tanaka (UOEH) MW2018-182 ICD2018-126
Recently, circulating tumor cell (CTC) is gathering attention because the clinical applications are enabled by investiga... [more] MW2018-182 ICD2018-126
pp.145-149
MW 2018-12-14
10:45
Kanagawa Kanagawa Univ. Basic Considerations on Circulating Tumor Cell Detection Using Ring-resonator-shaped Electrode
Shouta Sora, Kousei Kumahara, Masanori Eguchi, Futoshi Kuroki (NIT, Kure college), Takeshi Yamakawa (FLSI), Fumihiro Tanaka (UOEH) MW2018-130
 [more] MW2018-130
pp.93-96
ICD, MW 2018-03-02
11:25
Shiga The University of Shiga Prefecture A Consideration on Detection of Circulating Tumor Cells Using Ring Resonator Type of Electrode
Shouta Sora, Kousei Kumahara, Futoshi Kuroki (NIT, Kure College), Masanori Eguchi, Hiroko Imasato, Takeshi Yamakawa (FLSI), Keiichi Horio (KIT), Kazue Yoneda, Fumihiro Tanaka (UOEH) MW2017-192 ICD2017-116
 [more] MW2017-192 ICD2017-116
pp.87-90
MW 2017-12-19
14:25
Tokyo   Radiation Characteristics of EWE Antenna on Ground for Landslides Prognostication Based on Bistatic Rader System Using AM Radio Waves
Kousei Kumahara, Futoshi Kuroki (NIT,Kure College), Masanori Eguchi, Takeshi Yamakawa (FLSI) MW2017-148
 [more] MW2017-148
pp.37-42
MW 2017-06-23
10:20
Aichi A-101, Wing-A, Toyohashi University of Technology Measurement on Complex Permittivity of Hydrated Soil, Live and Dead Leaves, Woods, and Stones for Landslides Prognostication
Kousei Kumahara, Kengo Nakajima, Futoshi Kuroki (NIT,Kure College), Masanori Eguchi, Takeshi Yamakawa (FLSI) MW2017-26
Complex permittivity of hydrated soil contained in lands was measured as a function of the water volume content for land... [more] MW2017-26
pp.25-30
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-24
16:00
Okinawa Okinawa Institute of Science and Technology [Invited Talk] Deep Convolutional Neural Network Neocognitron and its Advances
Kunihiko Fukushima (FLSI) NC2015-3 IBISML2015-20
The neocognitron is a multi-layered convolutional network that can be trained to recognize visual patterns robustly. In ... [more] NC2015-3 IBISML2015-20
pp.49-54(NC), pp.165-170(IBISML)
WPT, MW 2015-04-16
14:50
Tokyo Kikai-Shinko-Kaikan Bldg. Consideration on Mounting Structure for MEMS Switch at 60 GHz Band
Kengo Nakajima, Futoshi Kuroki (NIT, Kure), Masanori Eguchi, Takeshi Yamakawa (FLSI) WPT2015-3 MW2015-3
 [more] WPT2015-3 MW2015-3
pp.11-14
AP, MW
(Joint)
2014-09-19
10:45
Tokyo Tokyo Institute of Technology, Ookayama Campus Numerical Consideration on Guiding Structure for MEMS Switch at 60 GHz Band
Kengo Nakajima, Futoshi Kuroki (KNCT), Masanori Eguchi, Takeshi Yamakawa (FLSI) MW2014-92
 [more] MW2014-92
pp.41-44
MW
(Workshop)
2013-12-02
- 2013-12-04
Overseas King Mongkut's University of Technology North Bangkok, Thailand Calculation on High Frequency Characteristics of Electrode to Separate Cells Using Dielectrophoresis
Ayumu Akashi, Futoshi Kuroki (KNCT), Masanori Eguchi, Takeshi Yamakawa (FLSI)
A system for identifying leukemia cells by using the dielectrophoresis being a phenomenon that particles are moved by gr... [more]
MW 2013-06-28
10:45
Aichi Nagoya Institute of Tech. Separation of Blood Cells Using Dielectrophoresis and Traveling Wave Electric Field
Masanori Eguchi, Takeshi Yamakawa (FLSI) MW2013-42
A method for detection and identification of abnormal cells in the blood by employing dielectrophoresis (DEP) has attrac... [more] MW2013-42
pp.65-68
MW 2013-06-28
11:15
Aichi Nagoya Institute of Tech. Calculation on High Frequency Characteristics of Electrode to Separate Cells Using Dielectrophoresis
Futoshi Kuroki, Ayumu Akashi (KNCT), Masanori Eguchi, Takeshi Yamakawa (FLSI) MW2013-43
 [more] MW2013-43
pp.69-72
MBE, NC
(Joint)
2013-03-13
13:45
Tokyo Tamagawa University Three-staged Neocognitron: Optimal Thereshold and Thinning-out of Cells
{Chihiro Yamamoto, Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (FLSI) NC2012-143
The neocognitron is a hierarchical multi-layered neural network
capable of robust visual pattern recognition.
In the ... [more]
NC2012-143
pp.55-60
SIS 2012-06-14
14:40
Hokkaido Tokachi Plaza (Obihiro City) A Proposal of Colorization Method for Monochrome Image by Color Transfer Based on Pattern Matching
Chiaki Ueda (Yamaguchi Univ.), Kazuhiro Tokunaga (FLSI), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2012-8
In this report, in order to realize automatic and photorealistic colorization of a monochrome image, a new colorization ... [more] SIS2012-8
pp.41-46
 Results 1 - 16 of 16  /   
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