5 citations · 5 across the 2 of their papers we have counts for
2 papers
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…
cs.CV2022★ 5 cited
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas
Henrik Hoeiness, Kristoffer Gjerde, Luca Oggiano +2
Approximating wind flows using computational fluid dynamics (CFD) methods can be time-consuming. Creating a tool for interactively designing prototypes while observing the wind flo…