Open access
Sep 2026
Compressive Strength Prediction of Red Mud Concrete Using Explainable and Uncertainty-Aware Artificial Intelligence Models
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...
Pradeep Thangavel, D. R. Kumar, Prasoon Kumar et al.
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