z-logo
open-access-imgOpen Access
On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV
Author(s) -
Jörg König,
Minqian Chen,
Wiebke Rösing,
David Boho,
Patrick Mäder,
Christian Cierpka
Publication year - 2020
Publication title -
measurement science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.48
H-Index - 136
eISSN - 1361-6501
pISSN - 0957-0233
DOI - 10.1088/1361-6501/ab7bfd
Subject(s) - convolutional neural network , artificial neural network , particle (ecology) , computer science , position (finance) , particle tracking velocimetry , tracking (education) , flow (mathematics) , microfluidics , velocimetry , artificial intelligence , algorithm , optics , mechanics , particle image velocimetry , physics , nanotechnology , materials science , psychology , pedagogy , oceanography , finance , turbulence , economics , geology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom