文献
J-GLOBAL ID:202202288831581750
整理番号:22A0497088
マルチモーダル深層学習に基づく顔ビデオ法医学検出のための効率的なサイバーセキュリティフレームワーク【JST・京大機械翻訳】
An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning
著者 (9件):
Sedik Ahmed
(Department of the Robots and Intelligent Machines, Faculty of AI, Kafrelsheikh University, Kafr El-Shaikh, Egypt)
,
Faragallah Osama S.
(Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia)
,
El-sayed Hala S.
(Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El-Kom, Egypt)
,
El-Banby Ghada M.
(Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt)
,
El-Samie Fathi E. Abd
(Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt)
,
El-Samie Fathi E. Abd
(Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia)
,
Khalaf Ashraf A. M.
(Department of Electronics and Electrical Communications, Faculty of Engineering, Minia University, El Minya, Egypt)
,
El-Shafai Walid
(Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt)
,
El-Shafai Walid
(Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, Saudi Arabia)
資料名:
Neural Computing & Applications
(Neural Computing & Applications)
巻:
34
号:
2
ページ:
1251-1268
発行年:
2022年
JST資料番号:
W0703A
ISSN:
0941-0643
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)