文献
J-GLOBAL ID:202102235548646945
整理番号:21A0013388
高速スクイーズネットによる深層学習に基づく電子部品認識アルゴリズム【JST・京大機械翻訳】
An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet
著者 (6件):
Xu Yuanyuan
(Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
,
Xu Yuanyuan
(College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)
,
Yang Genke
(Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
,
Yang Genke
(NingBo Artificial Intelligence Institute, Shanghai Jiaotong University, Ningbo 315000, China)
,
Luo Jiliang
(College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)
,
He Jianan
(Central Laboratory of Health Quarantine, Shenzhen International Travel Health Care Center, Shenzhen Academy of Inspection and Quarantine, Shenzhen Customs District, Shenzhen 518033, China)
資料名:
Mathematical Problems in Engineering (Web)
(Mathematical Problems in Engineering (Web))
巻:
2020
ページ:
Null
発行年:
2020年
JST資料番号:
U7803A
ISSN:
1024-123X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)