Robust AI for Financial Fraud Detection in the GCC: A Hybrid Framework for Imbalance, Drift, and Adversarial Threats.
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| Title: | Robust AI for Financial Fraud Detection in the GCC: A Hybrid Framework for Imbalance, Drift, and Adversarial Threats. |
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| Authors: | Al-Daoud, Khaleel Ibrahim1, Abu-AlSondos, Ibrahim A.2, i.abualsondos@meu.edu.jo |
| Source: | Journal of Theoretical & Applied Electronic Commerce Research; Jun2025, Vol. 20 Issue 2, p121, 25p |
| 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: 186258548 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jtaer20020121 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 121 Titles: – TitleFull: Robust AI for Financial Fraud Detection in the GCC: A Hybrid Framework for Imbalance, Drift, and Adversarial Threats. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Al-Daoud, Khaleel Ibrahim – PersonEntity: Name: NameFull: Abu-AlSondos, Ibrahim A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07181876 Numbering: – Type: volume Value: 20 – Type: issue Value: 2 Titles: – TitleFull: Journal of Theoretical & Applied Electronic Commerce Research Type: main |
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