Machine learning based quantification of synchrotron radiation-induced X-ray fluorescence measurements - a case study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
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In: Machine Learning: Science and Technology, S. 1-16
- Ereignis
-
Veröffentlichung
- (wo)
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Berlin
- (wer)
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Bundesanstalt für Materialforschung und -prüfung (BAM)
- (wann)
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2020
- Urheber
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Radtke, Martin
Rakotondrajoa, A.
- DOI
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10.1088/2632-2153/abc9fb
- URN
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urn:nbn:de:kobv:b43-519008
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
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Beteiligte
- Radtke, Martin
- Rakotondrajoa, A.
- Bundesanstalt für Materialforschung und -prüfung (BAM)
Entstanden
- 2020
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