MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images
Accurate measurement of bubbles in air-water two-phase flows holds immense significance in the realm of thermal hydraulics assessments within nuclear reactors.Nevertheless, conventional bubble measurement techniques grapple with challenges encompassing Deck Shoes system intricacy, limited real-time capabilities, and inaccuracies stemming from their