NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Using Artificial Intelligence (AI) and Machine Learning (ML) to conduct Space Missions Solid Waste Management SurveyThe National Aeronautics and Space Administration (NASA) Solid Waste Management team has been focusing on technologies that can operate in microgravity. NASA aims to conduct both short and long-term transit and planetary missions on the lunar and Mars surfaces. Therefore, an updated waste survey is needed to explore technologies for operation in microgravity for transit missions and partial gravity for planetary missions. This paper will utilize Artificial Intelligence and Machine Learning techniques to conduct the survey and generate knowledge graphs for Spacecraft Waste Management.
Document ID
20230016802
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Justine Tra-My Richardson
(National Aeronautics and Space Administration Washington D.C., District of Columbia, United States)
Date Acquired
November 16, 2023
Subject Category
Engineering (General)
Meeting Information
Meeting: 53rd International Conference on Environmental Systems
Location: Louisville, KY
Country: US
Start Date: July 21, 2024
End Date: July 25, 2024
Sponsors: International Conference on Environmental Systems (ICES)
Funding Number(s)
WBS: 089407.05.01.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
Artificial Intelligence
Machine Learning
Solid waste management

Available Downloads

There are no available downloads for this record.
No Preview Available