文献
J-GLOBAL ID:202202214229671185
整理番号:22A0777742
LSTMと遺伝的アルゴリズムに基づくサービスとしての電気変圧器油漏れ視覚検出【JST・京大機械翻訳】
Electric Transformer Oil Leakage Visual Detection as Service Based on LSTM and Genetic Algorithm
著者 (10件):
Gao Mingliang
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Zhang Cihang
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Xu Chongyao
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Gao Qi
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Gao Jiwei
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Yan Jing
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Liu Weidong
(State Grid Beijing Changping Electric Company, Beijing, China)
,
Fan Xiaohu
(Department of Information Engineering, Wuhan Collage, Wuhan, China)
,
Fan Xiaohu
(Jiangsu Titan Intelligence Technologies Co., Ltd., Wuxi, China)
,
Tu Hao
(Jiangsu Titan Intelligence Technologies Co., Ltd., Wuxi, China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
12993
ページ:
90-101
発行年:
2022年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)