most citedPositional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing cs.CEShow all

1 paper · 1 filter

cs.CE2023

Configurable convolutional neural networks for real-time pedestrian-level wind prediction in urban environments

Alfredo Vicente Clemente, Knut Erik Teigen Giljarhus, Luca Oggiano +1

Urbanization has underscored the importance of understanding the pedestrian wind environment in urban and architectural design contexts. Pedestrian Wind Comfort (PWC) focuses on th…