A machine learning approach for automated ULF wave recognition

A machine learning approach for automated ULF wave recognition

Machine learning techniques have been successfully introduced in the fields of Space Physics and Space Weather, yielding highly promising results in modeling and predicting many disparate aspects of the geospace environment. Magnetospheric ultra-low frequency (ULF) waves can have a strong impact on...

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Bibliographic Details
Main Authors: Balasis Georgios, Aminalragia-Giamini Sigiava, Papadimitriou Constantinos, Daglis Ioannis A., Anastasiadis Anastasios, Haagmans Roger
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:Journal of Space Weather and Space Climate
Subjects:
machine learning
ULF waves
LEO satellites
Online Access:https://www.swsc-journal.org/articles/swsc/full_html/2019/01/swsc180056/swsc180056.html

Internet

https://www.swsc-journal.org/articles/swsc/full_html/2019/01/swsc180056/swsc180056.html

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