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ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services: Estimated ON Model (EON)This document describes the Estimated ON Model (EON) Machine Learning (ML) services developed under the ATD-2 subproject as a reference implementation and released by NASA as Open Source software on github.
Document ID
20210021682
Acquisition Source
Ames Research Center
Document Type
Other - Software documentation
Authors
Dan Wesely
(Mosaic ATM (United States) Leesburg, Virginia, United States)
Andrew Churchill
(Mosaic ATM (United States) Leesburg, Virginia, United States)
John Slough
(Mosaic ATM (United States) Leesburg, Virginia, United States)
William J Coupe
(Ames Research Center Mountain View, California, United States)
Date Acquired
September 15, 2021
Publication Date
September 30, 2021
Subject Category
Air Transportation And Safety
Funding Number(s)
CONTRACT_GRANT: NNA16BD14C
PROJECT: 330693
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
ATD-2
IADS
machine learning
ML service
Open Source software
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