Deep Learning methods evaluation to predict air quality based on computational fluid dynamics
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Environmental Engineering| Origin | Files produced by the author(s) |
|---|
Journal Articles
Expert Systems with Applications
Year : 2022
Accord Elsevier CCSD : Connect in order to contact the contributor
https://hal.science/hal-03736929
Submitted on : Monday, July 22, 2024-1:22:42 PM
Last modification on : Monday, July 22, 2024-1:22:42 PM
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- HAL Id : hal-03736929 , version 1
- DOI : 10.1016/j.eswa.2022.117294
- PII : S0957-4174(22)00659-5
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Xavier Jurado, Nicolas Reiminger, Marouane Benmoussa, José Vazquez, Cédric Wemmert. Deep Learning methods evaluation to predict air quality based on computational fluid dynamics. Expert Systems with Applications, 2022, 203, ⟨10.1016/j.eswa.2022.117294⟩. ⟨hal-03736929⟩
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