Evaluating Droplet Burning Dynamics of Surrogate Fuels Using Convolutional Neural Networks for Image Analyses
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This talk presents the use of convolutional neural networks for automated image analysis of droplet combustion experiments, enabling efficient extraction of burning dynamics such as droplet burning rate and soot behavior for surrogate fuels.