[HTML][HTML] Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing
S Koziel, A Pietrenko-Dabrowska… - … Science and Technology …, 2024 - Elsevier
Air pollution remains a considerable contemporary challenge affecting life quality, the
environment, and economic well-being. It encompasses an array of pollutants—gases …
environment, and economic well-being. It encompasses an array of pollutants—gases …
On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
S Koziel, A Pietrenko-Dabrowska… - Knowledge-Based …, 2024 - Elsevier
Nitrogen dioxide (NO 2) is a prevalent air pollutant, particularly abundant in densely
populated urban regions. Given its harmful impact on health and the environment, precise …
populated urban regions. Given its harmful impact on health and the environment, precise …
[HTML][HTML] Nonlinear Regression Approach as a Correction Factor of Measurements of Low-Cost Electrochemical Air Quality Sensors
Air quality directly affects the health of humans. The health implications of poor air quality
are recognized by professionals and the public alike and these concerns have driven both …
are recognized by professionals and the public alike and these concerns have driven both …
[HTML][HTML] Investigation of LASSO Regression Method as a Correction Measurements' Factor for Low-Cost Air Quality Sensors
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 …
shown to affect human health and the local ecosystem. In recent years, with the rapid …