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Machine Learning (ML) Airport Surface ModelThis presentation was presented to SWS Data Mining and Prediction RTT subgroup on behalf of DMTA ML/AI processes RTT subgroup. The slides presented a review of ML airport surface model and showed validation results at KDFW.
Document ID
20210020632
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Jeremy Coupe (Ames Research Center Mountain View, California, United States)
Date Acquired
August 16, 2021
Subject Category
Air Transportation And Safety
Meeting Information
Meeting: SWS Data Mining and Prediction RTT Subgroup Meeting
Location: Virtual
Country: US
Start Date: July 29, 2021
Sponsors: Ames Research Center
Funding Number(s)
CONTRACT_GRANT: NASA
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
Keywords
Machine Learning
Airport Surface Model
DMTA
ML/AI

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