Examining the Performance of Various Pretrained Convolutional Neural Network Models in Malware Detection.
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| Title: | Examining the Performance of Various Pretrained Convolutional Neural Network Models in Malware Detection. |
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| Authors: | Abdulazeez, Falah Amer1, falah.amer.azeez@uoanbar.edu.iq, Ahmed, Ismail Taha2, baraa.tareq@uoanbar.edu.iqismail.taha@uoanbar.edu.iq, Hammad, Baraa Tareq2 |
| Source: | Applied Sciences (2076-3417); Mar2024, Vol. 14 Issue 6, p2614, 26p |
| Database: | Applied Science & Technology Source |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176271576 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=176271576 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app14062614 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 2614 Titles: – TitleFull: Examining the Performance of Various Pretrained Convolutional Neural Network Models in Malware Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abdulazeez, Falah Amer – PersonEntity: Name: NameFull: Ahmed, Ismail Taha – PersonEntity: Name: NameFull: Hammad, Baraa Tareq IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 14 – Type: issue Value: 6 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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