SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features.
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| Title: | SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features. |
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| Authors: | Amin, Junaid1, mohdjunaidkashmeer@gmail.com, Selwal, Arvind1, Sabha, Ambreen1 |
| Source: | Multimedia Tools & Applications; Aug2023, Vol. 82 Issue 20, p31445-31465, 21p |
| 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: 167307542 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Amin%2C+Junaid%22">Amin, Junaid</searchLink><relatesTo>1</relatesTo>, <i>mohdjunaidkashmeer@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Selwal%2C+Arvind%22">Selwal, Arvind</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Sabha%2C+Ambreen%22">Sabha, Ambreen</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Aug2023, Vol. 82 Issue 20, p31445-31465, 21p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=167307542 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-14934-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 31445 Titles: – TitleFull: SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amin, Junaid – PersonEntity: Name: NameFull: Selwal, Arvind – PersonEntity: Name: NameFull: Sabha, Ambreen IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 82 – Type: issue Value: 20 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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