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Cited article:

Using Gaussian process for velocity reconstruction after coronary stenosis applicable in positron emission particle tracking: An in-silico study

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PLOS ONE 18 (12) e0295789 (2023)
https://doi.org/10.1371/journal.pone.0295789

Recent advances in positron emission particle tracking: a comparative review

C R K Windows-Yule, M T Herald, A L Nicuşan, et al.
Reports on Progress in Physics 85 (1) 016101 (2022)
https://doi.org/10.1088/1361-6633/ac3c4c

Understanding the Bicomponent Particle Separation Mechanism in a Hydrocyclone Using a Computational Fluid Dynamics Model

Mandakini Padhi, Mayank Kumar and Narasimha Mangadoddy
Industrial & Engineering Chemistry Research 59 (25) 11621 (2020)
https://doi.org/10.1021/acs.iecr.9b06747

A novel clustering approach to positron emission particle tracking

Cody Wiggins, Roque Santos and Arthur Ruggles
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 811 18 (2016)
https://doi.org/10.1016/j.nima.2015.11.136

Measurement of particle concentration in a Wurster coater draft tube using light attenuation

R. Šibanc, I. Žun and R. Dreu
Chemical Engineering Research and Design 110 20 (2016)
https://doi.org/10.1016/j.cherd.2016.01.027

A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

Yu-Fen Chang and Alex C. Hoffmann
Experiments in Fluids 56 (1) (2015)
https://doi.org/10.1007/s00348-014-1875-5