3 papers
cs.CV2020
Water level prediction from social media images with a multi-task ranking approach
P. Chaudhary, S. D'Aronco, J. P. Leitao +2
Floods are among the most frequent and catastrophic natural disasters and affect millions of people worldwide. It is important to create accurate flood maps to plan (offline) and c…
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.CY2018
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps
Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi
Physically-based overland flow models are computationally demanding, hindering their use for real-time applications. Therefore, the development of fast (and reasonably accurate) ov…