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This study develops and compares four machine learning and deep learning models, namely the Deep Gradient Boosting Machine, the Differentiable Neural Decision Tree, Long Short-Term Memory, and the Monte Carlo Dropout Neural Network, for the accurate and uncertainty-aware prediction of the compressive strength of red mu...
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