Controlling Employability Issues of Computing Science Graduates through Machine Learning-Based Detection and Identification.
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| Title: | Controlling Employability Issues of Computing Science Graduates through Machine Learning-Based Detection and Identification. |
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| Authors: | Alheadary, Wael G.1, wheadary@taibahu.edu.sa |
| Source: | Engineering, Technology & Applied Science Research; Jun2023, Vol. 13 Issue 3, p10888-10894, 7p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164893305 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.5892 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 10888 Titles: – TitleFull: Controlling Employability Issues of Computing Science Graduates through Machine Learning-Based Detection and Identification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alheadary, Wael G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 13 – Type: issue Value: 3 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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