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Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions()
Urban air pollution is a critical public health challenge in low-and-middle-income countries (LMICs). At the same time, LMICs tend to be data-poor, lacking adequate infrastructure to monitor air quality (AQ). As LMICs undergo rapid urbanization, the socio-economic burden of poor AQ will be immense....
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| Pubblicato in: | Environ Pollut |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier Applied Science Publishers
2024
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7615387/ https://ncbi.nlm.nih.gov/pubmed/38000726 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.envpol.2023.122914 |
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