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Anomalies Detection on GRACE and GRACE-FO residuals Data Using AI/ML
Document ID
20240015633
Acquisition Source
Goddard Space Flight Center
Document Type
Poster
Authors
Alexandre J Belli (Science Systems and Applications (United States) Lanham, Maryland, United States)
Bryant D Loomis (Goddard Space Flight Center Greenbelt, United States)
Eric Leon (University of Michigan–Ann Arbor Ann Arbor, United States)
Kenny E Rachlin (Wyle (United States) El Segundo, California, United States)
Date Acquired
December 5, 2024
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Meeting Information
Meeting: American Geophysical Union (AGU24)
Location: Washington, D.C.
Country: US
Start Date: December 9, 2024
End Date: December 13, 2024
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: 22003.T.0104.00
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert

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