Open AccessDeep Learning Method for Martian Atmosphere Reconstruction
Author(s) -
Davide Amato,
Jay W. McMahon
Publication year - 2021
Publication title -
journal of aerospace information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 33
ISSN - 2327-3097
DOI - 10.2514/1.i010922
Subject(s) - mars exploration program , martian , trajectory , computer science , artificial neural network , set (abstract data type) , atmospheric model , artificial intelligence , atmospheric entry , deep learning , environmental science , meteorology , simulation , aerospace engineering , engineering , astrobiology , geography , physics , astronomy , programming language
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