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, cardiovascular problems and cognitive decline. While outdoor air quality is routinely predicted using advanced models that combine emissions data, chemical reactions, and weather patterns, no equivalent predictive
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was associated with the environmental conditions, wind turbine dependency and presence of reflecting surfaces [2]. In this project it is proposed to build a physics-based machine learning model that will account