Applying support vector machine (SVM) using GPS-TEC and Space Weather parameters to distinguish ionospheric disturbances possibly related to earthquakes-Reference-Cited by-同舟云学术

Applying support vector machine (SVM) using GPS-TEC and Space Weather parameters to distinguish ionospheric disturbances possibly related to earthquakes

Published:2023-11 Issue:10 Volume:72 Page:4420-4434
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Melgarejo-Morales Angela^ORCID,Esteban Vazquez-Becerra G.,Millan-Almaraz J.R.,Martinez-Felix Carlos A.^ORCID,Shah Munawar^ORCID

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference48 articles.

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3. Akhoondzadeh, M., 2019. Kalman filter and Neural Network methods for detecting irregular variations of TEC around the time of powerful Mexico (Mw=8.2) earthquake of September 08, 2017. Journal of the Earth and Space Physics. 44 (4), 87-97. https://doi:10.22059/jesphys.2018.258251.1007007.

4. Performance of GPS slant total electron content and IRI-Plas-STEC for days with ionospheric disturbance;Arikan;Geod. Geodyn.,2016

5. Vertical TEC over seismically active region during low solar activity;Astafyeva;J. Atmos. Sol. Terr. Phys.,2011

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