ResLMFFNet: a real-time semantic segmentation network for precision agriculture
- 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
-
ResLMFFNet: a real-time semantic segmentation network for precision agriculture ; volume:21 ; number:4 ; day:28 ; month:5 ; year:2024 ; pages:1-13 ; date:7.2024
Journal of real-time image processing ; 21, Heft 4 (28.5.2024), 1-13, 7.2024
- Urheber
-
Ulku, Irem
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s11554-024-01474-0
- URN
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urn:nbn:de:101:1-2408060958007.798462992756
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Ulku, Irem
- SpringerLink (Online service)
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