文献
J-GLOBAL ID:201902287183457290
整理番号:19A1550184
畳込みニューラルネットワークに基づくロバストな電力線装置検査システム【JST・京大機械翻訳】
Robust Powerline Equipment Inspection System Based on a Convolutional Neural Network
著者 (8件):
Siddiqui Zahid Ali
(Department of Computer Science & Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea)
,
Siddiqui Zahid Ali
(Department of Electronic Engineering, NED University of Engineering & Technology, Karachi-75270, Pakistan)
,
Park Unsang
(Department of Computer Science & Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea)
,
Lee Sang-Woong
(Department of Software, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam 13120, Korea)
,
Jung Nam-Joon
(Smart Distribution Lab. SW Platform Center, KEPCO Research Institute, 105 Moonji-ro, Daejeon 34056, Korea)
,
Choi Minhee
(Smart Distribution Lab. SW Platform Center, KEPCO Research Institute, 105 Moonji-ro, Daejeon 34056, Korea)
,
Lim Chanuk
(Smart Distribution Lab. SW Platform Center, KEPCO Research Institute, 105 Moonji-ro, Daejeon 34056, Korea)
,
Seo Jang-Hun
(ST Vision, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
18
号:
11
ページ:
3837
発行年:
2018年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)