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Tokuno, Kenta
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1

Defect detection method using deep convolutional neural net..:

Nagata, Fusaomi ; Tokuno, Kenta ; Mitarai, Kazuki...
Artificial Life and Robotics.  24 (2019)  4 - p. 512-519 , 2019
Link: https://doi.org/10.1007/..
 
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2

Fusion Method of Convolutional Neural Network and Support V..:

, In: 2019 IEEE International Conference on Mechatronics and Automation (ICMA),
Nagata, Fusaomi ; Tokuno, Kenta ; Nakashima, Kento... - p. 970-975 , 2019
Link: https://doi.org/10.1109/..
 
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3

Development of Design and Training Application for Deep Con..:

, In: Machine Vision and Navigation,
Nagata, Fusaomi ; Tokuno, Kenta ; Otsuka, Akimasa... - p. 769-786 , 2019
Link: https://doi.org/10.1007/..
 
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4

A Design and Training Application for Deep Convolutional Ne..:

, In: Lecture Notes in Mechanical Engineering; RITA 2018,
Nagata, Fusaomi ; Tokuno, Kenta ; Ochi, Hiroaki... - p. 27-33 , 2019
Link: https://doi.org/10.1007/..
 
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5

Design Tool of Deep Convolutional Neural Network for Intell..:

Nagata, Fusaomi ; Tokuno, Kenta ; Otsuka, Akimasa...
IOP Conference Series: Materials Science and Engineering.  423 (2018)  - p. 012073 , 2018
Link: https://doi.org/10.1088/..
 
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6

Hibikino-Musashi@Home 2022 Team Description Paper:

Shiba, Tomoya ; Ono, Tomohiro ; Tokuno, Shoshi...
http://arxiv.org/abs/2211.06696.  , 2022
Link: http://arxiv.org/abs/221..
 
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7

Hibikino-Musashi@Home 2020 Team Description Paper:

Ono, Tomohiro ; Tanaka, Yuichiro ; Ishida, Yutaro...
http://arxiv.org/abs/2005.14451.  , 2020
Link: http://arxiv.org/abs/200..
 
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