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Ismail, Aya, Elpeltagy, Marwa, Zaki, Mervat, ElDahshan, Kamal A. (2021) Deepfake video detection: YOLO-Face convolution recurrent approach. PeerJ Computer Science, 7. doi:10.7717/peerj-cs.730

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Reference TypeJournal (article/letter/editorial)
TitleDeepfake video detection: YOLO-Face convolution recurrent approach
JournalPeerJ Computer Science
AuthorsIsmail, AyaAuthor
Elpeltagy, MarwaAuthor
Zaki, MervatAuthor
ElDahshan, Kamal A.Author
Year2021 (September 21)Volume7
PublisherPeerJ
DOIdoi:10.7717/peerj-cs.730Search in ResearchGate
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Mindat Ref. ID15201212Long-form Identifiermindat:1:5:15201212:2
GUID0
Full ReferenceIsmail, Aya, Elpeltagy, Marwa, Zaki, Mervat, ElDahshan, Kamal A. (2021) Deepfake video detection: YOLO-Face convolution recurrent approach. PeerJ Computer Science, 7. doi:10.7717/peerj-cs.730
Plain TextIsmail, Aya, Elpeltagy, Marwa, Zaki, Mervat, ElDahshan, Kamal A. (2021) Deepfake video detection: YOLO-Face convolution recurrent approach. PeerJ Computer Science, 7. doi:10.7717/peerj-cs.730
In(2021) PeerJ Computer Science Vol. 7. PeerJ

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Elpeltagy, Marwa, Ismail, Aya, Zaki, Mervat S., Eldahshan, Kamal (2023) A Novel Smart Deepfake Video Detection System. International Journal of Advanced Computer Science and Applications, 14 (1) doi:10.14569/ijacsa.2023.0140144
Mancy, H.; Elpeltagy, Marwa; Eldahshan, Kamal; Ismail, Aya (2025) Hybrid-Optimized Model for Deepfake Detection. International Journal of Advanced Computer Science and Applications, 16 (4). doi:10.14569/ijacsa.2025.0160417
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