Textual Feature Extraction and Machine Learning Classification for Document Forgery Detection.
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| Title: | Textual Feature Extraction and Machine Learning Classification for Document Forgery Detection. |
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| Authors: | Benhamza, Hiba1, Djeffal, Abdelhamid1, Cheddad, Abbas2,3, abbas.cheddad@bth.se, Mishra, Pramita, pmishra@wiley.com |
| Source: | Applied Computational Intelligence & Soft Computing; 6/4/2026, Vol. 2026, p1-20, 20p |
| 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: 194295467 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194295467 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/acis/4463640 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Textual Feature Extraction and Machine Learning Classification for Document Forgery Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Benhamza, Hiba – PersonEntity: Name: NameFull: Djeffal, Abdelhamid – PersonEntity: Name: NameFull: Cheddad, Abbas – PersonEntity: Name: NameFull: Mishra, Pramita IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 06 Text: 6/4/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16879724 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Applied Computational Intelligence & Soft Computing Type: main |
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