Publications

Interpretable machine learning tools to analyze PM2.5 sensor network data so as to quantify local source impacts and long-range transport

Benjamin de Foy, Ross Edwards, Khaled Shaifullah Joy, Shahid Uz Zaman, Abdus Salam, James J. Schauer

Published December 2024
Journal Atmospheric Research
Volume 311
Pages 107656
Publisher Elsevier BV
DOI 10.1016/j.atmosres.2024.107656

Low-cost sensor networks, data science and forecasting Source apportionment and emission sources Urban and indoor air quality in Dhaka

Cite this

Benjamin de Foy, Ross Edwards, Khaled Shaifullah Joy, Shahid Uz Zaman, Abdus Salam, James J. Schauer (2024). Interpretable machine learning tools to analyze PM2.5 sensor network data so as to quantify local source impacts and long-range transport. Atmospheric Research, 311, 107656. https://doi.org/10.1016/j.atmosres.2024.107656

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