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 very large, expensive and require significant amounts of maintenance. As a promising solution, low-cost sensors ar...
| المؤلفون الرئيسيون: | , , , , |
|---|---|
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
MDPI AG
2021-05-01
|
| سلاسل: | Sensors |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/1424-8220/21/10/3338 |