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Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2020-12-11
13:40
Hyogo
(Primary: On-site, Secondary: Online)
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways
Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] DC2020-61
pp.12-17
DC 2020-12-11
14:00
Hyogo
(Primary: On-site, Secondary: Online)
How to collect teacher data for machine learning models to classify internal document know-how
Takahiro Shimura, Kohei Yabuki, Takumi Hasegawa (Kyosan Electric Mfg), Shiva Krishna Maheshuni, Takeshi Mizuma (Univ.Tokyo) DC2020-62
Not many companies seem to be able to utilize the product design know-how in their internal documents across the board. ... [more] DC2020-62
pp.18-22
DC 2019-12-20
15:15
Wakayama   Classification of railway stop positions by machine learning using on-board equipment accumulated data
Naohiro Morishima, Ryota kouduki, Tomoki Kobayashi, Yukiko Sugimoto (Kyosan), Takeshi Mizuma, Upvinder Singh Upvinder, Shiva Krishna Maheshuni (The University of Tokyo) DC2019-82
In recent years, the development of AI technology has been remarkable. Analysis using machine learning is attracting att... [more] DC2019-82
pp.21-23
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