View in EDS HTML Full Text PDF Full Text

Application of deep metric learning model to microscope image analysis for the determination of UOC samples in nuclear forensics analysis.

Saved in:
Bibliographic Details
Title: Application of deep metric learning model to microscope image analysis for the determination of UOC samples in nuclear forensics analysis.
Authors: Kimura, Yoshiki1 (AUTHOR) kimura.yoshiki@jaea.go.jp, Matsumoto, Tetsuya2 (AUTHOR), Yamaguchi, Tomoki1 (AUTHOR)
Source: Journal of Radioanalytical & Nuclear Chemistry. Jul2024, Vol. 333 Issue 7, p3541-3551. 11p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 178483183
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of deep metric learning model to microscope image analysis for the determination of UOC samples in nuclear forensics analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kimura%2C+Yoshiki%22">Kimura, Yoshiki</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kimura.yoshiki@jaea.go.jp</i><br /><searchLink fieldCode="AR" term="%22Matsumoto%2C+Tetsuya%22">Matsumoto, Tetsuya</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yamaguchi%2C+Tomoki%22">Yamaguchi, Tomoki</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Radioanalytical+%26+Nuclear+Chemistry%22">Journal of Radioanalytical & Nuclear Chemistry</searchLink>. Jul2024, Vol. 333 Issue 7, p3541-3551. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178483183
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10967-023-09300-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 3541
    Titles:
      – TitleFull: Application of deep metric learning model to microscope image analysis for the determination of UOC samples in nuclear forensics analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kimura, Yoshiki
      – PersonEntity:
          Name:
            NameFull: Matsumoto, Tetsuya
      – PersonEntity:
          Name:
            NameFull: Yamaguchi, Tomoki
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 02365731
          Numbering:
            – Type: volume
              Value: 333
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Journal of Radioanalytical & Nuclear Chemistry
              Type: main
ResultId 1