Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks
- DOI
- 10.1016/j.envpol.2019.113395
- Published
- 2020-01
- Container
- Environmental Pollution
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envpol.2019.113395,
title = {Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks},
author = {Yongbee Park and Byungjoon Kwon and Juyeon Heo and Xuefei Hu and Yang Liu and Taesup Moon},
year = {2020},
journal = {Environmental Pollution},
doi = {10.1016/j.envpol.2019.113395},
url = {https://doi.org/10.1016/j.envpol.2019.113395}
}RIS
TY - JOUR TI - Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks AU - Yongbee Park AU - Byungjoon Kwon AU - Juyeon Heo AU - Xuefei Hu AU - Yang Liu AU - Taesup Moon PY - 2020 JO - Environmental Pollution DO - 10.1016/j.envpol.2019.113395 UR - https://doi.org/10.1016/j.envpol.2019.113395 ER -
APA
Park, Y., Kwon, B., Heo, J., Hu, X., Liu, Y., & Moon, T. (2020). Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks. Environmental Pollution. https://doi.org/10.1016/j.envpol.2019.113395
Source records
- crossref · retrieved 2026-09-27T16:45:28.331Z