Alternate identifier:
(KITopen-DOI) 10.5445/IR/1000146837
Related identifier:
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Creator/Author:
Dreisbach, Maximilian https://orcid.org/0000-0001-6308-0982 [Institut für Strömungsmechanik]

Leister, Robin https://orcid.org/0000-0002-0286-8183 [Institut für Strömungsmechanik]

Probst, Matthias https://orcid.org/0000-0001-8729-0482 [Institut für Thermische Strömungsmaschinen]

Friederich, Pascal https://orcid.org/0000-0003-4465-1465 [Institut für Theoretische Informatik]

Stroh, Alexander [Institut für Strömungsmechanik]

Kriegseis, Jochen https://orcid.org/0000-0002-2737-2539 [Institut für Strömungsmechanik]
Contributors:
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Title:
Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry (data)
Additional titles:
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Description:
(Technical Remarks) This repository contains the supplementary data to our contribution "Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry" to the 2022 Measurement Science and Technology special issue on the topic “Machine Learning and Data...
Keywords:
Defocusing Particle Tracking Velocimetry
Synthetic Training Data Refinement
Particle Detection
Related information:
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Language:
-
Production year:
Subject areas:
Engineering
Resource type:
Dataset
Data source:
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Software used:
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Data processing:
-
Publication year:
Rights holders:
Funding:
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Name Storage Metadata Upload Action
Status:
Published
Uploaded by:
kitopen
Created on:
Archiving date:
2023-06-21
Archive size:
4.2 GB
Archive creator:
kitopen
Archive checksum:
58187a036e9149de4f52b5708f30da84 (MD5)
Embargo period:
-