Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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

Creator
Rostami, Masoud A.
Balmaki, Behnaz
Dyer, Lee A.
Allen, Julie M.
Sallam, Mohamed F.
Frontalini, Fabrizio
Contributor
SpringerLink (Online service)

DOI
10.1186/s40537-023-00815-3
URN
urn:nbn:de:101:1-2024021210180222288688
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:24 AM CEST

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Associated

  • Rostami, Masoud A.
  • Balmaki, Behnaz
  • Dyer, Lee A.
  • Allen, Julie M.
  • Sallam, Mohamed F.
  • Frontalini, Fabrizio
  • SpringerLink (Online service)

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