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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Signals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-6120/5/1/4 |