Retraction Note: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction.
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| Title: | Retraction Note: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction. |
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| Authors: | El-Rashidy, Nora1, Noura.alarashidy@ai.kfs.edu.eg, ElSayed, Nesma E.2,3, Nesma.e@dhic.edu.eg, El-Ghamry, Amir2,4,5, Amir_nabil@mans.edu.eg, Talaat, Fatma M.1, fatma.nada@ai.kfs.edu.eg |
| Source: | Neural Computing & Applications; Jan2025, Vol. 37 Issue 1, p513-513, 1p |
| 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: 182409090 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=182409090 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-024-10773-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 513 Titles: – TitleFull: Retraction Note: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: El-Rashidy, Nora – PersonEntity: Name: NameFull: ElSayed, Nesma E. – PersonEntity: Name: NameFull: El-Ghamry, Amir – PersonEntity: Name: NameFull: Talaat, Fatma M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 37 – Type: issue Value: 1 Titles: – TitleFull: Neural Computing & Applications Type: main |
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