Recent advancements in low-cost portable sensors for urban and indoor air quality monitoring
A Hernández-Gordillo, S Ruiz-Correa… - Air Quality, Atmosphere …, 2021 - Springer
The spatiotemporal heterogeneity of the air pollutants complicates appropriate monitoring.
The collective measures or crowdsensing is a promising approach to achieve a better air …
The collective measures or crowdsensing is a promising approach to achieve a better air …
Developing relative humidity and temperature corrections for low-cost sensors using machine learning
Existing government air quality monitoring networks consist of static measurement stations,
which are highly reliable and accurately measure a wide range of air pollutants, but they are …
which are highly reliable and accurately measure a wide range of air pollutants, but they are …
Data-driven machine learning calibration propagation in a hybrid sensor network for air quality monitoring
I Vajs, D Drajic, Z Cica - Sensors, 2023 - mdpi.com
Public air quality monitoring relies on expensive monitoring stations which are highly
reliable and accurate but require significant maintenance and cannot be used to form a high …
reliable and accurate but require significant maintenance and cannot be used to form a high …