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Most analysis in experimental fluid dynamics uses techniques to track flow, by seeding the flow with particles. Humans with eye and the extraordinarily fascinating brain are undoubtedly the best system to identify and track moving objects or particles. The only issue with that is, human beings are slower for tracking thousands of particles/ objects over …
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Title Machine learning to improve experimental fluid flow analysis
Most analysis in experimental fluid dynamics uses techniques to track flow, by seeding the flow with particles. Humans with eye and the extraordinarily fascinating brain are undoubtedly the best system to identify and track moving objects or particles. The only issue with that is, human beings are slower for tracking thousands of particles/ objects over …
Continue reading "Machine learning to improve experimental fluid flow analysis"
Work type Article
Tags tensorflow, fluids / aerodynamics, particle image velocimetry, tech blogs, particle tracking velocimetry
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Registry info in Safe Creative
Identifier 1706012476664
Entry date Jun 1, 2017, 12:21 AM UTC
License Creative Commons Attribution Non-Commercial Share Alike 3.0
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Author. Holder Fayaz Rasheed. Date Jun 1, 2017.
Information available at https://www.safecreative.org/work/1706012476664-machine-learning-to-improve-experimental-fluid-flow-analysis
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Registration: 1706012476664
