A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
Author:
Affiliation:
1. Department of Civil and Environmental Engineering University of Delaware, Newark, DE USA
2. Zachry Department of Civil and Environmental Engineering Texas A&M University, College Station, TX USA
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12629
Reference100 articles.
1. Integrating human behaviour dynamics into flood disaster risk assessment
2. Enhanced probabilistic neural network with local decision circles: A robust classifier
3. Leveraging machine learning for predicting flash flood damage in the Southeast US
4. A real-time hydrological model for flood prediction using GIS and the WWW
5. Artificial Neural Networks in Hydrology. II: Hydrologic Applications
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