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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.
Lattice Boltzmann Multicomponent Model for Direct-Writing Printing
We introduce a mesoscale approach for the simulation of multicomponent flows to model the direct-writing printing process, along with the early stage of ink deposition.
Fluid Dynamics Computational Physics
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