文献
J-GLOBAL ID:202102263286778251
整理番号:21A0993974
コロナウイルス(COVID-19)検出と監視のためのエンドツーエンド深層学習フレームワーク【JST・京大機械翻訳】
End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring
著者 (6件):
El-Rashidy Nora
(Machine Learning and Information Retrieval Department, Faculty of Artificial Intelligence, Kafrelsheiksh University, Kafrelsheiksh 13518, Egypt)
,
El-Sappagh Shaker
(Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain)
,
El-Sappagh Shaker
(Information Systems Department, Faculty of Computers and Artificial Intelligence, Benha University, Banha 13518, Egypt)
,
Islam S. M. Riazul
(Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea)
,
El-Bakry Hazem M.
(Information Systems Department, Faculty of Computers and Information, Mansoura University, Mansoura 13518, Egypt)
,
Abdelrazek Samir
(Information Systems Department, Faculty of Computers and Information, Mansoura University, Mansoura 13518, Egypt)
資料名:
Electronics (Web)
(Electronics (Web))
巻:
9
号:
9
ページ:
1439
発行年:
2020年
JST資料番号:
U7178A
ISSN:
2079-9292
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)