Alessya Ventura
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View article: Prediction of Short-Term Ultrafine Particle Exposures using Street-Level Images and Air Quality Data Based on Mobile Monitoring
Prediction of Short-Term Ultrafine Particle Exposures using Street-Level Images and Air Quality Data Based on Mobile Monitoring Open
BACKGROUND: Within-city UFPs vary sharply since they are influenced by various factors, e.g., local sources, built environment, and meteorology. The long-term spatial distribution of UFPs has been investigated using mobile platforms. As co…
View article: The Design, Calibration, and Evaluation of a Mobile Sensor System for Air Pollution Measurement and Prediction in Urban Areas
The Design, Calibration, and Evaluation of a Mobile Sensor System for Air Pollution Measurement and Prediction in Urban Areas Open
BACKGROUND: The increasing ubiquity of low-cost air quality sensors has been recently met with a growing body of research on sensor calibration and validation. While most studies documenting low-cost sensor performance are limited to the a…
View article: Combined Deep Learning and Land Use Regression Models for Ultrafine Particles and Black Carbon in Montreal and Toronto, Canada
Combined Deep Learning and Land Use Regression Models for Ultrafine Particles and Black Carbon in Montreal and Toronto, Canada Open
BACKGROUND: Ambient ultrafine particles (UFP; <100nm) and black carbon (BC) have been associated with adverse health outcomes including cardiovascular disease and brain tumour incidence. Estimating population exposures for these pollutants…