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pro vyhledávání: '"Eiskowitz, Skylar"'
Autor:
Eiskowitz, Skylar
Time series forecasting has attracted the attention of the machine learning (ML) community to produce accurate forecasting models that address the limitations of classical methods. A large part of ML research focuses on innovative algorithms, but ano
Externí odkaz:
https://hdl.handle.net/1721.1/139189
The next generation of satellite constellations is designed to better address the future needs of our connected society: highly-variable data demand, mobile connectivity, and reaching more under-served regions. Artificial Intelligence (AI) and learni
Externí odkaz:
http://arxiv.org/abs/2112.06055
Publikováno v:
In Telecommunications Policy April 2021 45(3)
Publikováno v:
MIT web domain
© 2020 The MITRE Corporation. All Rights Reserved. Fuel selection is a strong driver of the mass fraction for many proposed lunar and Mars missions, but fuel technology trends have not been comprehensively evaluated for their impact on the system in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::c551b67f366de754514b91cf5c771812
https://hdl.handle.net/1721.1/137282
https://hdl.handle.net/1721.1/137282
Akademický článek
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