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Generalization of deep recurrent optical flow estimation for particle-image velocimetry data

; ; ;

In
Machine Learning and Data Assimilation techniques for fluid flow measurements / Editors: Stefano Discetti, Andrea Sciacchitano

In
Measurement science and technology 33(9), Seiten/Artikel-Nr.:094003

ImpressumBristol : IOP Publ.

ISSN1361-6501

Online
DOI: 10.1088/1361-6501/ac73db


Einrichtungen

  1. Lehrstuhl für Strömungslehre und Aerodynamisches Institut (415110)
  2. JARA-CSD (Center for Simulation and Data Science) (080031)


Thematische Einordnung (Klassifikation)
DDC: 620


Dokumenttyp
Journal Article/Contribution to a book

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85131662283
WOS Core Collection: WOS:000807206500001

Interne Identnummern
RWTH-2022-06490
Datensatz-ID: 848992

Beteiligte Länder
Germany, UK

Lizenzstatus der Zeitschrift

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; National-Konsortium ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Books > Contributions to a book
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Central and Other Institutions
Public records
Publications database
080031
415110
 Record created 2022-06-22, last modified 2025-10-14
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