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Found 3 papers, 1 papers with code
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
This work is a benchmark study for the YOLOv5 and YOLOv7 networks with DeepSORT in terms of the training time and inference time for a custom dataset of microfluidic droplets.
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications
One fundamental analysis frequently desired in microfluidic experiments is counting and tracking the droplets.
Rheology of active polar emulsions: from linear to unidirectional and unviscid flow, and intermittent viscosity
The rheological behaviour of an emulsion made of an active polar component and an isotropic passive fluid is studied by lattice Boltzmann methods.
Soft Condensed Matter
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