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Deep learning for prediction of the air quality response to emission changes
Efficient prediction of the air quality response to emission changes is a prerequisite for an integrated assessment system in developing effective control policies. Yet representing the nonlinear response of air quality to emissions controls with accuracy remains a major barrier in air quality-relat...
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| Publicado no: | Environ Sci Technol |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7375937/ https://ncbi.nlm.nih.gov/pubmed/32551547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.est.0c02923 |
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