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

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 development of technology, low-cost sensors have emerged, with many people interested in the quality of the air in their ar...

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Príomhchruthaitheoirí: Ioannis Christakis, Elena Sarri, Odysseas Tsakiridis, Ilias Stavrakas
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: MDPI AG 2024-02-01
Sraith:Signals
Ábhair:
ozone (O<sub>3</sub>)
nitrogen dioxide (NO<sub>2</sub>)
air quality IoT
low-cost sensing systems
optimization low-cost sensors measurements
LASSO regression
Rochtain ar líne:https://www.mdpi.com/2624-6120/5/1/4

Ar líne

https://www.mdpi.com/2624-6120/5/1/4

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