Air pollution, which is mainly caused by industrialization, intensive transportation, and the
heating of buildings, is one of the most important problems in large cities because it …

In order to obtain high-accuracy measurements, traditional air quality monitoring and
prediction systems adopt high-accuracy sensors. However, high-accuracy sensors are …

Traditional adaptive Kalman filtering algorithms based on innovation are often used to solve
the problem of reduced or even divergent filtering estimation accuracy under abnormal …

Prediction algorithms enable computers to learn from historical data in order to make
accurate decisions about an uncertain future to maximize expected benefit or avoid potential …

The increasing emissions of air pollutants have been a current issue and with great interest
by regulatory agencies, industries, and society in general as they represent a threat to health …

Using low-cost gas sensors for air quality monitoring promises cost effective and convenient
measurement systems. Nevertheless, the results obtained have a questionable quality due …

Significant portions of European cities' population are still exposed to levels of air pollution
deemed harmful by the World Health Organization. Given the high impact of air pollution …

The current compliance networks of automatic air-quality monitoring stations in large urban
environments are not sufficient to provide spatial and temporal measurement resolution for …

In recent years, low-cost air sensors designed to measure ambient particulate matters and
trace gases have been changing the world of air quality monitoring. Although low-cost …

Air quality is a subject of study, particularly in densely populated areas, as it has been
shown to affect human health and the local ecosystem. In recent years, with the rapid …