Investigation of LASSO Regression Method as a Correction Measurements' Factor for Low-Cost Air Quality Sensors

I Christakis, E Sarri, O Tsakiridis, I Stavrakas - Signals, 2024 - mdpi.com
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 …

A data calibration method for micro air quality detectors based on a LASSO regression and NARX neural network combined model

B Liu, Y Jin, D Xu, Y Wang, C Li - Scientific Reports, 2021 - nature.com
Studies have shown that there is a certain correlation between air pollution and various
human diseases, especially lung diseases, so it is very meaningful to monitor the …

Advancing sustainable air quality through calibration of miniature air quality monitors with SRA-SVR combined model

X Wang - Frontiers in Environmental Science, 2024 - frontiersin.org
Effective calibration of miniature air quality monitor measurements is an important task to
ensure accurate measurements and guarantee sustainable air quality. The aim of this study …

A Kalman Filter Scheme for the Optimization of Low-Cost Gas Sensor Measurements

I Christakis, O Tsakiridis, D Kandris, I Stavrakas - Electronics, 2023 - mdpi.com
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 …

Robust Analysis of the Information Obtained From a Set of 12 Years of SO₂ Concentration Measurements

W Hernandez, A Mendez, V Gonzalez-Posadas… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, a robust analysis of SO 2 concentration measurements taken at the Belisario
air quality monitoring station, Quito, Ecuador is carried out. The analyzed data contain 12 …

Application of combined model of stepwise regression analysis and artificial neural network in data calibration of miniature air quality detector

B Liu, Q Zhao, Y Jin, J Shen, C Li - Scientific reports, 2021 - nature.com
In this paper, six types of air pollutant concentrations are taken as the research object, and
the data monitored by the micro air quality detector are calibrated by the national control …

[HTML][HTML] Modified Target Diagram to check compliance of low-cost sensors with the Data Quality Objectives of the European air quality directive

S Yatkin, M Gerboles, A Borowiak, S Davila… - Atmospheric …, 2022 - Elsevier
Abstract The modified Target Diagram (MTD) was developed to evaluate the performance of
low-cost sensors (LCS) for air quality monitoring in comparison with reference methods by …

Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements

M Badura, P Batog, A Drzeniecka-Osiadacz… - SN Applied Sciences, 2019 - Springer
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 …

Adaptive LASSO based on joint M-estimation of regression and scale

E Ollila - 2016 24th European Signal Processing Conference …, 2016 - ieeexplore.ieee.org
The adaptive Lasso (Least Absolute Shrinkage and Selection Operator) obtains oracle
variable selection property by using cleverly chosen adaptive weights for regression …

An approximation for metal-oxide sensor calibration for air quality monitoring using multivariable statistical analysis

D Sales-Lérida, AJ Bello, A Sánchez-Alzola… - Sensors, 2021 - mdpi.com
Good air quality is essential for both human beings and the environment in general. The
three most harmful air pollutants are nitrogen dioxide (NO2), ozone (O3) and particulate …