Data-Driven Prediction and Interpretability Analysis of Corrosion Rate for Low-Alloy Steel
This study focuses on low-alloy steels for offshore equipment in islands and coastal regions, which are exposed to aggressive marine atmospheres. A corrosion rate prediction method integrating data augmentation, feature selection, and interpretable machine learning is proposed. The conditional tabular generative advers...