This work proposes the development of an air pollution model based on a joint application of
Kalman filter and Kriging technique. The use of modelling techniques in data environmental …

In recent years, the pollution monitoring in urban areas has become one of the most critical
issues for local public authorities, which wish (or must) verify that pollution levels not exceed …

Over the last decade, manufacturers have come forth with cost-effective sensors for
measuring ambient and indoor particulate matter concentration. What these sensors make …

Air pollution significantly affects public health in many countries. In particular, indoor air
quality can be equally, if not more, concerning than outdoor emissions of pollutant gases …

The integration of monitoring technologies in the last decades has been a key factor in the
development of new ways to track air pollutants and supplementing the network of traditional …

The paper presents a method of computational complexity reduction in Extended Kalman
Filters dedicated for systems with non-linear measurement models. Extended Kalman filters …

In recent years, low-cost air pollution technologies have gained increasing interest and,
have been studied widely by the scientific community. Thus, these new sensing …

This article is concerned with the Kalman-like filtering (KLF) problem for linear and nonlinear
dynamic systems observed by binary sensors. Binary sensors are a special class of sensors …

Assessing the intracity spatial distribution and temporal variability in air quality can be
facilitated by a dense network of monitoring stations. However, the cost of implementing …

The article presents comparison of regression methods used to obtain calibration formulas
for low-cost optical particulate matter sensors. Data for analysis were taken from 1-year …