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In this framework, the convolutional neural network (CNN) undertakes the encoding task for the grain size distribution, extracting local patterns through sliding convolution kernels and compressing them into low-dimensional feature vectors, avoiding the parameter explosion problem that would result from directly feeding the high-dimensional distribution into the recurrent network.
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11/5/2026
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