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Found 2 papers, 1 papers with code
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
Application of Neural Networks to river hydraulics is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques.
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.
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