With advances in technological sciences, individuals can utilize low-cost air monitoring
sensors to record air quality at homes, schools, and businesses. Air quality data collected …

The development of contemporary artificial intelligence (AI) methods such as artificial neural
networks (ANNs) has given researchers around the world new opportunities to address …

Nowadays, increasing air-pollution levels are a public health concern that affects all living
beings, with the most polluting gases being present in urban environments. For this reason …

Air pollution perception biases hinder the public's awareness of actual air quality. Past
studies that examined the association and mismatch between actual and perceived air …

Few studies have used individual-level data to explore the association between COVID-19
risk with multiple environmental exposures and housing conditions. Using individual-level …

Mining is an economic activity that entails the production and displacement of significant
amounts of atmospheric particulate matter (PM) during operations involving intense …

Individuals are often exposed to multiple environmental factors simultaneously.
Understanding their joint effects is essential for developing effective public health policies …

Air pollution is a major cause of mortality and chronic diseases worldwide, with particulate
matter (PM) being the primary contributor to this burden. Few studies have yet been carried …

A variety of low-cost sensors have recently appeared to measure air quality, making it
feasible to face the challenge of monitoring the air of large urban conglomerates at high …

Street-view images are essential data sources for advanced urban analytics. Most of the
street-view images that researchers utilize are commercial street views, which can be …