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Advanced Acoustic Monitoring Using Psychoacoustic Heatmap Machine Learning Models for Noise Impact Prediction in Air-Conditioned Building Environments.

Sensors (Basel) · 2026 · PMC12846021 · PMID 41600343

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practically significantno p-value reported
The MAE of 4.4 for EPA -score prediction of PHMLM-EPA compared to 6.4 for TRM-EPA represented a 31% improvement in prediction accuracy (see Figure 6 ), which is practically significant for sound quality prediction in acoustic monitoring.

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