文献
J-GLOBAL ID:202202262577514902
整理番号:22A0479015
DS-CNN:指静脈認識のための深さ方向分離可能畳込みニューラルネットワークに基づく予訓練Xceptionモデル【JST・京大機械翻訳】
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
著者 (8件):
Shaheed Kashif
(School of Computer Science and Engineering, South China University of Technology, Guangzhou, China)
,
Mao Aihua
(School of Computer Science and Engineering, South China University of Technology, Guangzhou, China)
,
Qureshi Imran
(Key Laboratory of Space Photoelectric Detection and Perception, Ministry of Industry and Information Technology, College of Astronautic, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China)
,
Kumar Munish
(Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, India)
,
Hussain Sumaira
(TIME Lab, School of Software Engineering, Shandong University, Jinan, China)
,
Ullah Inam
(TIME Lab, School of Software Engineering, Shandong University, Jinan, China)
,
Zhang Xingming
(School of Computer Science and Engineering, South China University of Technology, Guangzhou, China)
,
Qureshi Imran
(Department of Computer Software Engineering, Military College of Signals, National University of Sciences and Technology (MCS-NUST), Islamabad 44000, Pakistan)
資料名:
Expert Systems with Applications
(Expert Systems with Applications)
巻:
191
ページ:
Null
発行年:
2022年
JST資料番号:
W0178A
ISSN:
0957-4174
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)