文献
J-GLOBAL ID:202202255550626555
整理番号:22A0960246
MSCNet:テクスチャ強化メカニズムと亀裂検出のための特徴集約によるフレームワーク【JST・京大機械翻訳】
MSCNet: A Framework With a Texture Enhancement Mechanism and Feature Aggregation for Crack Detection
著者 (6件):
Lu Guanlin
(Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China)
,
He Xiaohui
(Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China)
,
Wang Qiang
(Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China)
,
Shao Faming
(Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China)
,
Wang Jinkang
(Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China)
,
Zhao Xiaokang
(Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China)
資料名:
IEEE Access
(IEEE Access)
巻:
10
ページ:
26127-26139
発行年:
2022年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)