Design & development of adulteration detection system by fumigation method & machine learning techniques.
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| Title: | Design & development of adulteration detection system by fumigation method & machine learning techniques. |
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| Authors: | Agrawal, Urvashi1 (AUTHOR) urvashi.agrawal2000@gmail.com, Bawane, Narendra1 (AUTHOR), Alsubaie, Najah2 (AUTHOR), Alqahtani, Mohammed S.3,4 (AUTHOR), Abbas, Mohamed5 (AUTHOR), Soufiene, Ben Othman6 (AUTHOR) soufiene.benothman@isim.rnu.tn |
| Source: | Scientific Reports. 10/25/2024, Vol. 14 Issue 1, p1-16. 16p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 180497272 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=asn&AN=180497272 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-64025-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: Design & development of adulteration detection system by fumigation method & machine learning techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Agrawal, Urvashi – PersonEntity: Name: NameFull: Bawane, Narendra – PersonEntity: Name: NameFull: Alsubaie, Najah – PersonEntity: Name: NameFull: Alqahtani, Mohammed S. – PersonEntity: Name: NameFull: Abbas, Mohamed – PersonEntity: Name: NameFull: Soufiene, Ben Othman IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 10 Text: 10/25/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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