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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
11:25
Hokkaido Hokkaido Univ. [Special Talk] Technology of Findings Generation Based on Generative AI for Efficient Bridge Inspection
Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more]
IN, NS
(Joint)
2023-03-02
13:30
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
On the throughput of TCPs over wireless mesh networks
Naoshi Sakamoto, Yuto Watanabe, Satoshi Kouya (TDU) NS2022-185
We measure TCP throughput in IEEE 802.11s wireless mesh network. A comparison of TCP CUBIC and TCP BBR has already been ... [more] NS2022-185
pp.107-112
MW, AP
(Joint)
2020-09-24
12:50
Online Online [Poster Presentation] Antenna Analysis on Multilayer Dielectric Plate Using FDTD Method
Yuto Watanabe, Takuji Arima (TUAT), Takashi Yamagajo (FATEC), Toru Uno (TUAT) AP2020-42
The FDTD method, which is one of the electromagnetic field analysis methods, has a problem that the time step width beco... [more] AP2020-42
pp.53-56
ET 2014-03-08
10:05
Kochi Kochi National College of Technology Construction and Evaluation of Review Support Environment with Visual-oriented Annotation Method for Presentation Rehearsal
Yuto Watanabe, Ryo Okamoto (Kochi Univ.), Akihiro Kashihara (UEC) ET2013-93
The purpose of the presentation rehearsal is to enable a presenter to refine the knowledge and presentation materials th... [more] ET2013-93
pp.7-12
NLP 2014-01-21
13:50
Hokkaido Niseko Park Hotel Solving Optimization Problems Using DS-net and IDL model
Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137
The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set ... [more] NLP2013-137
pp.45-50
NLP 2013-10-29
13:30
Kagawa Sanport Hall Takamatsu Discussion about the effectiveness of a DS-net and an active neuron model
Yoshihiro Hayakawa, Hikaru Okuda (Sendai NCT.), Yuto Watanabe, Koji Nakajima (Tohoku Univ.) NLP2013-100
The active neuron model, which means an active region in output space,
is an effective tool to avoid local minimum pro... [more]
NLP2013-100
pp.159-164
ET 2013-07-27
14:35
Kumamoto Kumamoto University Review Support Environment with Visual-oriented Annotation Method for Presentation Rehearsal
Yuto Watanabe, Ryo Okamoto (Kochi Univ.), Akihiro Kashihara (UEC) ET2013-22
The purpose of the presentation rehearsal is to enable a presenter to refine the knowledge and presentation materials th... [more] ET2013-22
pp.19-24
NLP 2012-12-18
09:45
Fukui Fukui City Communication Plaza Inverse Function Delayless (IDL) Model
Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2012-98
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has the negative r... [more] NLP2012-98
pp.57-60
 Results 1 - 8 of 8  /   
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