Comparative Evaluation of Machine Learning Models for Discriminating Honey Geographic Origin Based on Altitude-Dependent Mineral Profiles.
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| Title: | Comparative Evaluation of Machine Learning Models for Discriminating Honey Geographic Origin Based on Altitude-Dependent Mineral Profiles. |
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| Authors: | Gürbüz, Semra1, Kıvrak, Şeyda2, seydakivrak@gmail.com |
| Source: | Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p11859, 13p |
| 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: 189609934 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative Evaluation of Machine Learning Models for Discriminating Honey Geographic Origin Based on Altitude-Dependent Mineral Profiles. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gürbüz%2C+Semra%22">Gürbüz, Semra</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kıvrak%2C+Şeyda%22">Kıvrak, Şeyda</searchLink><relatesTo>2</relatesTo>, <i>seydakivrak@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Nov2025, Vol. 15 Issue 22, p11859, 13p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189609934 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app152211859 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 11859 Titles: – TitleFull: Comparative Evaluation of Machine Learning Models for Discriminating Honey Geographic Origin Based on Altitude-Dependent Mineral Profiles. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gürbüz, Semra – PersonEntity: Name: NameFull: Kıvrak, Şeyda IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 22 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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