An auditable evaluation of monthly provincial tourism forecasting across Thailand demonstrated that simple persistence baselines outperformed pretest-selected machine learning models ...
A GA-optimized machine-learning ensemble predicted continuous bored-pile settlement trajectories from 563 field load-test records, reaching an independent-test R² of 0.958 ...
An explainable machine-learning framework classified 52 historic blue bricks among five regional groups with 95% test accuracy using spectral and ...
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart failure, but it ...
A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer intentions, while highlighting ...
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