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Session
Presentation | H23L: Advancing Prediction, Theory, and Causal Understanding in Geosciences Through AI and Big Data III Poster
Poster
H23L-1377: Understanding Nevada’s Groundwater using Geospatial Data and Machine Learning: Developing Student Pathways into Earth Science Research
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Schedule
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Notes
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Credits
Tue, Dec 16
Board 1377‚ Hall EFG (Poster Hall)
2:15pm - 5:45pm (Central)
NOLA CC
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Sayantan Majumdar
Desert Research Institute Reno
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Author(s):
Sayantan Majumdar
, Desert Research Institute
(First Author, Presenting Author)
Jenae Payne
, Truckee Meadows Community College
Brian Padilla
, Truckee Meadows Community College
Isabel de la Garza-Gibson
, University of Nevada Reno
Eleanor Muir
, Truckee Meadows Community College
Roger Putnam
, Truckee Meadows Community College
Meghan Collins
, Desert Research Institute
View Abstract
Scientific Discipline
Hydrology
Suggested Itineraries
Machine Learning and AI
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
H23L: Advancing Prediction, Theory, and Causal Understanding in Geosciences Through AI and Big Data III Poster
2:15pm-5:45pm Dec 16 (Central)
Yalan Song
Discussion
