9 citations · 10 across the 4 of their papers we have counts for
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cs.CV2020
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo, Joao P. Leitao, Nuno E. Simoes +1
Computational complexity has been the bottleneck of applying physically-based simulations on large urban areas with high spatial resolution for efficient and systematic flooding an…
cs.CV2017★ 9 cited
Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet
Vahid Moosavi
Study of urban form is an important area of research in urban planning/design that contributes to our understanding of how cities function and evolve. However, classical approaches…