Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study ; volume:10 ; number:1 ; day:1 ; month:10 ; year:2023 ; pages:1-14 ; date:12.2023
Journal of Big Data ; 10, Heft 1 (1.10.2023), 1-14, 12.2023
- Urheber
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Rostami, Masoud A.
Balmaki, Behnaz
Dyer, Lee A.
Allen, Julie M.
Sallam, Mohamed F.
Frontalini, Fabrizio
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40537-023-00815-3
- URN
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urn:nbn:de:101:1-2024021210180222288688
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Rostami, Masoud A.
- Balmaki, Behnaz
- Dyer, Lee A.
- Allen, Julie M.
- Sallam, Mohamed F.
- Frontalini, Fabrizio
- SpringerLink (Online service)
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