A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features

9 November 2021

Papers citing "A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features"

7 / 7 papers shown

Title
Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks Christoph Metzl Kianusch Vahid Yousefnia Richard Müller Virginia Poli Miria Celano Tobias Bölle 26 0 0 14 Apr 2025
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation Chia-Fu Liu Lipai Huang Kai Yin Samuel D. Brody Ali Mostafavi AI4CE 20 0 0 23 May 2024
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks Zhiyu Zhang Chenkaixiang Lu Wenchong Tian Z. Liao Zhiguo Yuan AI4CE 24 5 0 16 Apr 2024
FloodLense: A Framework for ChatGPT-based Real-time Flood Detection Pranath Reddy Kumbam Kshitij Maruti Vejre AI4CE 13 3 0 27 Jan 2024
MaxFloodCast: Ensemble Machine Learning Model for Predicting Peak Inundation Depth And Decoding Influencing Features Cheng-Chun Lee Lipai Huang F. Antolini Matthew Garcia A. Juanb S. Brody Alireza Mostafavi AI4CE 12 0 0 11 Aug 2023
Graph Neural Network for spatiotemporal data: methods and applications Yun-Qing Li Dazhou Yu Zhenke Liu Minxing Zhang Xi Gong Liang Zhao AI4TS AI4CE 16 10 0 30 May 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 81 170 0 25 Mar 2023