Seismic inversion with deep learning : A proposal for litho-type classification
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-1499
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Seismic inversion with deep learning ; volume:26 ; number:2 ; day:21 ; month:12 ; year:2021 ; pages:351-364 ; date:4.2022
Computational geosciences ; 26, Heft 2 (21.12.2021), 351-364, 4.2022
- Urheber
-
Pintea, Silvia L.
Sharma, Siddharth
Vossepoel, Femke C.
Gemert, Jan C. van
Loog, Marco
Verschuur, Dirk J.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10596-021-10118-2
- URN
-
urn:nbn:de:101:1-2022060119134901555212
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
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Beteiligte
- Pintea, Silvia L.
- Sharma, Siddharth
- Vossepoel, Femke C.
- Gemert, Jan C. van
- Loog, Marco
- Verschuur, Dirk J.
- SpringerLink (Online service)
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