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Session
Presentation | S21C: From Task-Specific Machine Learning to Foundation Models in Seismology and Geodesy I Poster
Poster
S21C-0207: Machine Learning-Based Quality Control and Categorizations for Seismic Receiver Functions
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Schedule
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Notes
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Credits
Tue, Dec 16
Board 0207‚ Hall EFG (Poster Hall)
8:30am - 12:00pm (Central)
NOLA CC
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Sheng Dong
Stony Brook University
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Author(s):
Sheng Dong
, Stony Brook University
(First Author, Presenting Author)
Hanxiao Wu
, Stony Brook University
Amarjeet Kumar
, Stony Brook University
Vera Schulte-Pelkum
, Univ Colorado Boulder
Weisen Shen
, Stony Brook University
View Abstract
Scientific Discipline
Seismology
Suggested Itineraries
Disasters‚ Calamities and Extreme Events
Machine Learning and AI
Neighborhood
Earth Interior
Type
Poster
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View This Poster
Main Session
Poster
S21C: From Task-Specific Machine Learning to Foundation Models in Seismology and Geodesy I Poster
8:30am-12:00pm Dec 16 (Central)
Laura Laurenti
Discussion
