By incorporating feature stability across data segments, DWC identified Unit weight as marginally significant relationship potentially masked in Pearson’s linear analysis due to non-linear or localised dependencies.
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CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural environments.
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