文献
J-GLOBAL ID:201802286033943513
整理番号:18A0711520
自動自律視覚ベース電力線検査:現在の状況と深部学習の潜在的役割のレビュー【JST・京大機械翻訳】
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
著者 (4件):
Nguyen Van Nhan
(UiT Machine Learning Group, Faculty of Science and Technology, Department of Physics and Technology, University of Tromso, 9019 Tromso, Norway)
,
Nguyen Van Nhan
(Analytics Department, eSmart Systems, 1783 Halden, Norway)
,
Jenssen Robert
(UiT Machine Learning Group, Faculty of Science and Technology, Department of Physics and Technology, University of Tromso, 9019 Tromso, Norway)
,
Roverso Davide
(Analytics Department, eSmart Systems, 1783 Halden, Norway)
資料名:
International Journal of Electrical Power & Energy Systems
(International Journal of Electrical Power & Energy Systems)
巻:
99
ページ:
107-120
発行年:
2018年
JST資料番号:
A0596B
ISSN:
0142-0615
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)