Deep learning application to fast estimation of riverine surface velocity
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W[2020AGUFMEP0460006F]
LA["Linked Authors (0)"]
LI["Linked Institutions (3)"]
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W== affil ==>LI
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- ADS bibcode
- 2020AGUFMEP0460006F
- year
- 2020
- Listed Authors
- Forghani, M.
- Qian, Y.
- Lee, J. H.
- Farthing, M.
- Hesser, T.
- Kitanidis, P. K.
- Darve, E. F.
- Listed Institutions
- Mechanical Engineering, Stanford University, Stanford, CA, United States
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, United States
- Civil and Environmental Engineering, University of Hawai`i at Mānoa, Honolulu, HI, United States
- US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States
- U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States
- Mechanical Engineering, Stanford University, Stanford, CA, United States
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