Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of CO2 and CH4 in air
The pressing issue of atmospheric pollution has prompted the exploration of affordable methods for measuring and monitoring air contaminants as complementary techniques to standard methods, able to produce high-density data in time and space. The main challenge of this low-cost approach regards the...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2024-05-01
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| Col·lecció: | Heliyon |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2405844024058031 |
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