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Katarzyna Schmidt

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Open access Oct 2026

A Comparative Study of Conventional and Deep Learning Correction Functions for Low-Cost Particulate Matter Measurements

Fine particulate matter smaller than 2.5 micrometers significantly impacts human health, yet its concentrations are governed by complex interactions between emissions and meteorological conditions. This study investigates the seasonal drivers of PM2.5 in the Silesian Voivodeship and assesses the predictive performance...

Krzysztof Emerling, Katarzyna Schmidt, Patryk Sitarek · 0 citations

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