AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks.
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| Title: | AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks. |
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| Authors: | Rosca, Cosmina-Mihaela1, cosmina.rosca@upg-ploiesti.ro, Stancu, Adrian2 |
| Source: | Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9574, 28p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187980449 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rosca%2C+Cosmina-Mihaela%22">Rosca, Cosmina-Mihaela</searchLink><relatesTo>1</relatesTo>, <i>cosmina.rosca@upg-ploiesti.ro</i><br /><searchLink fieldCode="AU" term="%22Stancu%2C+Adrian%22">Stancu, Adrian</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Sep2025, Vol. 15 Issue 17, p9574, 28p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187980449 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15179574 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 9574 Titles: – TitleFull: AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rosca, Cosmina-Mihaela – PersonEntity: Name: NameFull: Stancu, Adrian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 17 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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