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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2022-10-15
15:45		 Saga Saga University and Online
(Primary: On-site, Secondary: Online)		 Examination of Virtual Visits to Tourist Destinations Using VR
Takaaki Ohkawauchi, Eriko Tanaka (Nihon Univ.) ET2022-27		  [more] ET2022-27
pp.35-38
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
10:40		 Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)		 SIP2022-19 BioX2022-19 IE2022-19 MI2022-19 n this paper, GAN learning was performed using a dataset of live-action pig images taken in the previous year to generat... [more] SIP2022-19 BioX2022-19 IE2022-19 MI2022-19
pp.97-102
ET 2021-03-06
14:05		 Online Online Development of a Support System for Coaching the Coding Process in Programming
Takaaki Ohkawauchi (Nihon Univ.), Tomoki Hirano (Uchidayoko) ET2020-59		 More efficient and effective programming instruction methods are required due to the compulsory of elementary school pro... [more] ET2020-59
pp.45-48
ET 2020-10-17
15:10		 Online Online Verification of Information Literacy Education Using Item Response Theory
Takaaki Ohkawauchi, Takayuki Kobayashi, Busujima Yuji, Eriko Tanaka (Nihon Univ.) ET2020-26		 Continuous improvement activities of lectures are required in university education. However, there are few discussions o... [more] ET2020-26
pp.24-27
MI 2020-01-29
14:10		 Okinawa OKINAWAKEN SEINENKAIKAN Proposal for a Method for Classifying Aortic Stenosis from ECG Using Deep Learning, and Analysis Using Grad-CAM.
Erika Hata, Chanjin Seo (Waseda Univ.), Masafumi Nakayama (Todachuo General Hospital), Kiyotaka Iwasaki (Waseda Univ.), Takaaki Ohkawauchi (Nihon Univ.), Jun Ohya (Waseda Univ.) MI2019-87		 Aortic valvular stenosis (AS), one of the valvular diseases, can cause sudden death in severe cases. This disease is rar... [more] MI2019-87
pp.97-101
PRMU, CNR 2019-03-01
10:00		 Tokushima   Local path generation using deep reinforcement learning for four-limbed robots in disaster site
Toshiki Kurosawa (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.), Takaaki Ohkawauchi, Takashi Matsuzawa, Ohya Jun (Waseda Univ.), Kenji Hashimoto (Meiji Univ), Atsuo Takanishi (Waseda Univ.) PRMU2018-125 CNR2018-48		 In recent years, the demand for the use of robots in disaster sites has increased. In this paper, we propose and investi... [more] PRMU2018-125 CNR2018-48
pp.59-64
ET 2011-12-08
15:00		 Shizuoka   Study on a Method of Estimating Learners' Subjective Impressions of the Difficulty By Their Learning Actions for e-Learning on Demand
Takaaki Ohkawauchi, Jun Ohya, Shunichi Yonemura (Waseda Univ.), Yukio Tokunaga (Shibaura Inst. of Tech.) ET2011-78		  [more] ET2011-78
pp.13-18
 Results 1 - 7 of 7  /   
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