Author Archives: Leonardo Y. Kamigauti

Enhancing spatial inference of air pollution using machine learning techniques with low-cost monitors in data-limited scenarios

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Environ. Sci.: Atmos., 2024, 4,342-350
DOI: 10.1039/D3EA00126A, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Leonardo Y. Kamigauti, Gabriel M. P. Perez, Thomas C. M. Martin, Maria de Fatima Andrade, Prashant Kumar
Our novel approach leverages accessible datasets and deep learning to achieve accurate air quality modeling in resource-limited environments.
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