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Riding the Type Wave: Evaluating New AI Techniques for Their Applicability in Earth ScienceNo abstract available
Document ID
20160014666
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Ramachandran, Rahul (NASA Marshall Space Flight Center Huntsville, AL United States)
Zhang, Jia (Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL United States)
Lee, Tsengdar (NASA Headquarters Washington, DC United States)
Date Acquired
December 16, 2016
Publication Date
December 12, 2016
Subject Category
Geosciences (General)
Documentation And Information Science
Report/Patent Number
MSFC-E-DAA-TN37828
Meeting Information
Meeting: American Geophysical Union (AGU) Fall 2016
Location: San Francisco, CA
Country: United States
Start Date: December 12, 2016
End Date: December 16, 2016
Sponsors: American Geophysical Union
Funding Number(s)
WBS: WBS 430728.02.09.05.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Earth Observation Data
Deep Learning
Data Analytics

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