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Akademický článek
Evaluation of F10.7, Sunspot Number and Photon Flux Data for Ionosphere TEC Modeling and Prediction Using Machine Learning Techniques
Autor: Andres Gilberto Machado da Silva Benoit, Adriano Petry
Publikováno v: Atmosphere, Vol 12, Iss 9, p 1202 (2021)
Considering the growing volumes and varieties of ionosphere data, it is expected that automation of analytical model building using modern technologies could lead to more accurate results. In this work, machine learning techniques are applied to iono
Externí odkaz: https://doaj.org/article/f6c0ce4a9c9b4cf0a6a5b2a80a86d405
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Evaluation of F10.7, Sunspot Number and Photon Flux Data for Ionosphere TEC Modeling and Prediction Using Machine Learning Techniques
Autor: Adriano Petry, Andres Gilberto Machado da Silva Benoit
Publikováno v: Atmosphere, Vol 12, Iss 1202, p 1202 (2021)
Atmosphere
Volume 12
Issue 9
Considering the growing volumes and varieties of ionosphere data, it is expected that automation of analytical model building using modern technologies could lead to more accurate results. In this work, machine learning techniques are applied to iono
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13d94da8636e7ba8548d9ab73e1325d8
https://www.mdpi.com/2073-4433/12/9/1202
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