activity
20162020
most citedUrban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet

9 citations · 10 across the 4 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.SI2020

StationRank: Aggregate dynamics of the Swiss railway

Georg Anagnostopoulos, Vahid Moosavi

Increasing availability and quality of actual, as opposed to scheduled, open transport data offers new possibilities for capturing the spatiotemporal dynamics of the railway and ot…

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…