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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
WPT 2024-03-14
16:00
Kyoto Kyoto-Univ. (Uji campus)
(Primary: On-site, Secondary: Online)
Challenges in Constructing Platform for Under-water Wireless Power Transfer Systems
Ikuo Awai (Fuji Waves), Ryohei Murakami, Shunsuke Hino, Masayuki Okamoto (NITUC) WPT2023-44
A Trial to enlarge the coupling coefficient of an electric coupling WPT system utilizing the large permittivity of water... [more] WPT2023-44
pp.49-54
SIS 2020-12-01
15:15
Online Online A Proposal of Convolutional Neural Networks detecting and removing noise for Random-Valued Impulse Noise Denoising
Yukiya Fukuda (Kytutech), Ryosuke Kubota (NITUC), Hakaru Tamukoh (Kyutech) SIS2020-34
When digital images are transmitted, Random-Valued Impulse Noise (RVIN) may cause image degradation. RVIN is known as no... [more] SIS2020-34
pp.35-40
NC, MBE 2019-12-06
17:20
Aichi Toyohashi Tech Regularization Term of WRH Type Used with Moore-Penrose Inverse for Optimizing Neural Networks
Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) MBE2019-60 NC2019-51
Weigend et al. proposed an algorithm for optimizing neural networks, which suppressed the notorious over- tting. They at... [more] MBE2019-60 NC2019-51
pp.89-94
ED 2019-11-22
11:15
Tokyo   Sub-band formation in amorphous Selenium superlattice and its controlled physical properties
Joshua D. John, Kunitaka Enomoto, Noritoshi Miyachi (ICU), Tomoaki Masuzawa (Shizuoka U.), Takatoshi Yamada (AIST), Shun Okano (TUC), Ken Okano (ICU) ED2019-73
 [more] ED2019-73
pp.55-58
NC, MBE
(Joint)
2018-12-15
14:25
Aichi Nagoya Institute of Technology Approximation of Bayesian Discriminant Functions by Neural Networks with Weight Elimination
Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) NC2018-34
 [more] NC2018-34
pp.35-40
WIT, HI-SIGACI 2018-12-06
10:50
Tokyo AIST Tokyo Waterfront A Method To Print Braille in 3D Printing
Madoka Nishimura (TUCSS) WIT2018-45
We developed a simple Japanese Braille printing software for 3D printer
by using the part-of-speech and morphological a... [more]
WIT2018-45
pp.73-75
SIS, ITE-BCT 2018-10-26
11:30
Kyoto Kyoto University Clock Tower Centennial Hall A Hardware Implementation of Craik-O'Brien Effect-Based Contrast Improvement for Dichromats
Tomohiro Ono (Kyutech), Ryosuke Kubota (NITUC), Noriaki Suetake (YU), Hakaru Tamukoh (Kyutech) SIS2018-20
In this paper, we design a digital hardware circuit to realize the contrast improvement algorithm for dichromats. The pr... [more] SIS2018-20
pp.95-100
MBE, NC
(Joint)
2017-12-16
10:30
Aichi Nagoya University Application of ELM for Approximating Bayesian Discriminant Functions
Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) NC2017-40
 [more] NC2017-40
pp.1-6
SIS 2017-03-03
11:00
Kanagawa Kanagawa Inst. Tech. Yokohama Office Application of Hierarchical Genetic Algorithm to Heterogeneous Fleet Vehicle Routing Problem and Modification of Genetic Operator
Ryutaro Iida (Kyutech), Shudai Ishikawa (NIT, Oita College), Ryosuke Kubota (NITUC), Keiichi Horio (Kyutech) SIS2016-58
In this paper, a genetic algorithm is applied to Heterogeneous Fleet Vehicle Routing Problem (HFVRP), and a new genetic ... [more] SIS2016-58
pp.91-94
NC, MBE
(Joint)
2012-12-12
17:30
Aichi Toyohashi University of Technology Learning of Mahalanobis discriminant functions by a neural network -- For non-normally distributed signals --
Hiroyuki Izumi (AGU), Yoshifusa Ito (AMU), Cidambi Srinivasan (UKY) NC2012-90
 [more] NC2012-90
pp.79-84
ET 2008-03-08
09:30
Tokushima Tokushima Univ. A Development of Game-based Learning Environment to Activate the Interaction among Learners
Ryo Takaoka, Yumiko Watanabe, Wataru Matsushima, Shino Onitake, Takashi Horikawa (Yamaguchi Univ.), Toshio Okamoto (The Univ. of Electro-Communications) ET2007-96
 [more] ET2007-96
pp.69-72
NC 2007-06-15
13:25
Okinawa OIST Seaside House Learning of Neural Networks with Dichotomic Random Teacher Signals
Yoshifusa Ito (AGU), Cidambi Srinivasan (UKY), Hiroyuki Izumi (AGU) NC2007-21
Learning with dichotomic random teacher signals is a hard task for neural networks, because the learning cannot be compl... [more] NC2007-21
pp.75-80
 Results 1 - 12 of 12  /   
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