6 citations · 8 across the 3 of their papers we have counts for
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cs.LG2021
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
Hamed Farahmand, Yuanchang Xu, Ali Mostafavi
The objective of this study is to develop and test a novel structured deep-learning modeling framework for urban flood nowcasting by integrating physics-based and human-sensed feat…
cs.LG2021★ 2 cited
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding
Faxi Yuan, Yuanchang Xu, Qingchun Li +1
The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments current status through the use of deep lear…