A satellite-based, near real-time, street-level resolution air pollutants monitoring system using machine learning for personalised skin health applications
Author:
Funder
National Institute for Health and Care Research
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11869-024-01577-4.pdf
Reference42 articles.
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2. Armstrong BK, Kricker A (2001) The epidemiology of UV induced skin cancer. J Photochem Photobiol B 63:8–18. https://doi.org/10.1016/S1011-1344(01)00198-1
3. Barrington-Leigh C, Millard-Ball A (2017) The world’s user-generated road map is more than 80% complete. PLoS ONE 12:e0180698. https://doi.org/10.1371/journal.pone.0180698
4. Bocheva G, Slominski RM, Slominski AT (2023) Environmental air pollutants affecting skin functions with systemic implications. Int J Mol Sci 24:10502. https://doi.org/10.3390/ijms241310502
5. Briggs DJ, Collins S, Elliott P et al (1997) Mapping urban air pollution using GIS: a regression-based approach. Int J Geogr Inf Sci 11:699–718. https://doi.org/10.1080/136588197242158
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