Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 17
Articles | Volume 18, issue 17
https://doi.org/10.5194/amt-18-4357-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Collection:
https://doi.org/10.5194/amt-18-4357-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 17
Research article
 | 
10 Sep 2025
Research article |  | 10 Sep 2025

Improving raw readings from low-cost ozone sensors using artificial intelligence for air quality monitoring

Guillem Montalban-Faet, Eric Meneses-Albala, Santiago Felici-Castell, Juan J. Perez-Solano, and Jaume Segura-Garcia

Viewed

Total article views: 3,174 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,696 327 151 3,174 67 92
  • HTML: 2,696
  • PDF: 327
  • XML: 151
  • Total: 3,174
  • BibTeX: 67
  • EndNote: 92
Views and downloads (calculated since 16 Oct 2024)
Cumulative views and downloads (calculated since 16 Oct 2024)

Viewed (geographical distribution)

Total article views: 3,174 (including HTML, PDF, and XML) Thereof 2,983 with geography defined and 191 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jan 2026
Download
Short summary
The World Health Organization (WHO) warns of ground-level ozone problems in urban areas and recommends increased monitoring. This paper shows that low-cost sensors coupled with artificial intelligence are an excellent alternative.
Read more
Share
Collection
Low-cost sensors for the measurement of atmospheric...