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Izvirni znanstveni članek
Oznake: source apportionment;machine learning;deep learning;Europe data set;spatial-temporal analysis;air quality;organic aerosols;
Fine particulate matter (PM) poses a major threat to public health, with organic aerosol (OA) being a key component. Major OA sources, hydrocarbon-like OA (HOA), biomass burning OA (BBOA), and oxygenated OA (OOA), have distinct health and environmental impacts. However, OA source apportionment ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: source apportionment;Bayesian Autocorrelated Matrix Factorisation;regularization;Positive Matrix Factorisation;
Aerosol source apportionment is a key tool for understanding the origins of atmospheric particulate matter and for guiding effective air quality management strategies. However, source apportionment techniques still struggle to properly separate highly correlated sources without relying on restrictiv ...
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
Raziskovalni podatki
Oznake: models;database;
Models used in the BAMF+horseshoe manuscript
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
Raziskovalni podatki
Oznake: models;database;
Datasets used in the BAMF+horseshoe manuscripts
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
Št. zadetkov: 4
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