Domain-Adversarial Approach to Neural Networks Training to Determine the Composition of Wines Using Various Techniques for Measuring IR Absorption Spectra.
Saved in:
| Title: | Domain-Adversarial Approach to Neural Networks Training to Determine the Composition of Wines Using Various Techniques for Measuring IR Absorption Spectra. |
|---|---|
| Authors: | Utegenova, L. S.1 (AUTHOR) utegenova.ls20@physics.msu.ru, Sarmanova, O. E.1,2 (AUTHOR), Burikov, S. A.1,2 (AUTHOR), Plastinin, I. V.2 (AUTHOR), Dolenko, T. A.1,2 (AUTHOR), Dolenko, S. A.2 (AUTHOR) |
| Source: | Bulletin of the Russian Academy of Sciences: Physics. 2024 Suppl 3, Vol. 88, pS160-S165. 6p. |
| Database: | Mathematics Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: msf DbLabel: Mathematics Source An: 183283104 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Domain-Adversarial Approach to Neural Networks Training to Determine the Composition of Wines Using Various Techniques for Measuring IR Absorption Spectra. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Utegenova%2C+L%2E+S%2E%22">Utegenova, L. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> utegenova.ls20@physics.msu.ru</i><br /><searchLink fieldCode="AR" term="%22Sarmanova%2C+O%2E+E%2E%22">Sarmanova, O. E.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burikov%2C+S%2E+A%2E%22">Burikov, S. A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Plastinin%2C+I%2E+V%2E%22">Plastinin, I. V.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dolenko%2C+T%2E+A%2E%22">Dolenko, T. A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dolenko%2C+S%2E+A%2E%22">Dolenko, S. A.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Bulletin+of+the+Russian+Academy+of+Sciences%3A+Physics%22">Bulletin of the Russian Academy of Sciences: Physics</searchLink>. 2024 Suppl 3, Vol. 88, pS160-S165. 6p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=183283104 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1134/S106287382470895X Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: S160 Titles: – TitleFull: Domain-Adversarial Approach to Neural Networks Training to Determine the Composition of Wines Using Various Techniques for Measuring IR Absorption Spectra. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Utegenova, L. S. – PersonEntity: Name: NameFull: Sarmanova, O. E. – PersonEntity: Name: NameFull: Burikov, S. A. – PersonEntity: Name: NameFull: Plastinin, I. V. – PersonEntity: Name: NameFull: Dolenko, T. A. – PersonEntity: Name: NameFull: Dolenko, S. A. IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 12 Text: 2024 Suppl 3 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10628738 Numbering: – Type: volume Value: 88 Titles: – TitleFull: Bulletin of the Russian Academy of Sciences: Physics Type: main |
| ResultId | 1 |