Deep Learning Techniques Applications for the ENDA Experiment Data Analysis.
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| Title: | Deep Learning Techniques Applications for the ENDA Experiment Data Analysis. |
|---|---|
| Authors: | Shchegolev, O.1,2 (AUTHOR) shchegolev_oleg@mail.ru |
| Source: | Physics of Atomic Nuclei. Nov2021, Vol. 84 Issue 6, p915-918. 4p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep Learning Techniques Applications for the ENDA Experiment Data Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shchegolev%2C+O%2E%22">Shchegolev, O.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> shchegolev_oleg@mail.ru</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Physics+of+Atomic+Nuclei%22">Physics of Atomic Nuclei</searchLink>. Nov2021, Vol. 84 Issue 6, p915-918. 4p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=154391888 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1134/S1063778821130317 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 915 Titles: – TitleFull: Deep Learning Techniques Applications for the ENDA Experiment Data Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shchegolev, O. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 10637788 Numbering: – Type: volume Value: 84 – Type: issue Value: 6 Titles: – TitleFull: Physics of Atomic Nuclei Type: main |
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