Deepfake detection using rationale-augmented convolutional neural network

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dc.authoridUniversity, Bayan/0009-0009-6837-2832
dc.contributor.authorAhmed, Saadaldeen Rashid Ahmed
dc.contributor.authorSonuc, Emrullah
dc.date.accessioned2024-09-29T15:54:43Z
dc.date.available2024-09-29T15:54:43Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractDeepfake network is a prominent topic of research as an application to various systems about security measures. Although there have been many recent advancements in facial reconstruction, the greatest challenge to overcome has been the means of finding an efficient and quick way to compute facial similarities or matches. This work is created utilizing the rationale-augmented convolutional neural network (CNN) on MATLAB R2019a platform using the Kaggle DeepFake Video dataset with an accuracy of 95.77%. Hence, real-time deepfake facial reconstruction for security purposes is difficult to complete concerning limited hardware and efficiency. This research paper looks into rational augmented CNN state-of-the-art technology utilized for deepfake facial reconstruction via hardware such as webcams and security cameras in real time. Additionally, discuss a history of face reconstruction and provide an overview of how it is accomplished.en_US
dc.identifier.doi10.1007/s13204-021-02072-3
dc.identifier.issn2190-5509
dc.identifier.issn2190-5517
dc.identifier.scopus2-s2.0-85114813361en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s13204-021-02072-3
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4228
dc.identifier.wosWOS:000695393100002en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofApplied Nanoscienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeepfakeen_US
dc.subjectVideoen_US
dc.subjectDetectionen_US
dc.subjectSegmentationen_US
dc.subjectFacial alignmenten_US
dc.subjectDeep learningen_US
dc.subjectReconstructionen_US
dc.titleDeepfake detection using rationale-augmented convolutional neural networken_US
dc.typeArticleen_US

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