"Spatiotemporal flood depth and velocity dynamics using a convolutional ..."

Mohamed M. Fathi et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.ENVSOFT.2024.106307

access: closed

type: Journal Article

metadata version: 2025-01-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/envsoft/FathiLFHTNS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/envsoft/FathiLFHTNS25
Mohamed M. Fathi, Zihan Liu, Anjali M. Fernandes, Michael T. Hren, Dennis O. Terry, C. Nataraj, Virginia Smith:
Spatiotemporal flood depth and velocity dynamics using a convolutional neural network within a sequential Deep-Learning framework. Environ. Model. Softw. 185: 106307 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.