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M. Friberg

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Open access Aug 2026

An Applied Assessment of Multi-Source Data Fusion by Machine Learning for PM2.5 Daily Concentration Prediction

This study evaluates a machine learning data fusion approach that integrates daily federal regulatory observations, daily low-cost community sensor measurements, and monthly satellite-derived aerosol products to improve PM2.5 prediction across under-monitored environments.

Suhrudh Chivukula, Adrian J. Cortes Santos, R. Delgado et al. · 0 citations

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