194 citations · 215 across the 5 of their papers we have counts for
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cs.LG2022★ 194 cited
Improving aircraft performance using machine learning: a review
Soledad Le Clainche, Esteban Ferrer, Sam Gibson +3
This review covers the new developments in machine learning (ML) that are impacting the multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics (expe…
physics.flu-dyn2022★ 21 cited
Data-driven assessment of arch vortices in simplified urban flows
Álvaro Martínez-Sánchez, Eneko Lazpita, Adrián Corrochano +3
Understanding flow structures in urban areas is widely recognized as a challenging concern due to its effect on urban development, air quality, and pollutant dispersion. In this st…