文献
J-GLOBAL ID:202102246643235536
整理番号:21A0449973
転移学習ベースCNNモデルを用いた微小欠陥の検出
Detection of minute defects using transfer learning-based CNN models
著者 (7件):
Nakashima Kento
(Graduate School of Engineering, Sanyo-Onoda City University, Sanyo-Onoda, Japan)
,
Nagata Fusaomi
(Graduate School of Engineering, Sanyo-Onoda City University, Sanyo-Onoda, Japan)
,
Ochi Hiroaki
(Graduate School of Engineering, Sanyo-Onoda City University, Sanyo-Onoda, Japan)
,
Otsuka Akimasa
(Graduate School of Engineering, Sanyo-Onoda City University, Sanyo-Onoda, Japan)
,
Ikeda Takeshi
(Graduate School of Engineering, Sanyo-Onoda City University, Sanyo-Onoda, Japan)
,
Watanabe Keigo
(Okayama University, Okayama, Japan)
,
Habib Maki K.
(American University in Cairo, Cairo, Egypt)
資料名:
Artificial Life and Robotics
(Artificial Life and Robotics)
巻:
26
号:
1
ページ:
35-41
発行年:
2021年02月
JST資料番号:
L3251A
ISSN:
1433-5298
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)