The machine learning (ML) models (RF, SVM, XGBoost, LightGBM) did not show a clear trend with respect to the interval configuration, maintaining similar performance in the range of approximately 79–82% (81.69% for 0.10–0.24 m, 79.67% for 0.07–0.27 m, and 80.72% for 0.04–0.30 m).
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Radar-Based Road Surface Classification Using Range-Fast Fourier Transform Learning Models.
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