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Session
Presentation | H33N: Advances in Remote Sensing, AI, and Modeling for Hydrology and the Terrestrial Water Cycle I Poster
Poster
H33N-1467: Hypernetworks for deep learning-based hydrological prediction
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Schedule
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Credits
Wed, Dec 17
Board 1467‚ Hall EFG (Poster Hall)
2:15pm - 5:45pm (Central)
NOLA CC
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Mohammad Sina Jahangir
Cornell University
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Author(s):
Mohammad Sina Jahangir
, Cornell University
(First Author, Presenting Author)
Shahryar Fazli
, Chapman University
John Quilty
, University of Waterloo
Scott Steinschneider
, Cornell University
View Abstract
Scientific Discipline
Hydrology
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
H33N: Advances in Remote Sensing, AI, and Modeling for Hydrology and the Terrestrial Water Cycle I Poster
2:15pm-5:45pm Dec 17 (Central)
Hyunglok Kim
Discussion
