Articles | Volume 31, issue 2
https://doi.org/10.5194/angeo-31-173-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-31-173-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular paper
| 
06 Feb 2013
Regular paper |
| 06 Feb 2013
Support vector machines for TEC seismo-ionospheric anomalies detection
M. Akhoondzadeh
Remote Sensing Division, Surveying and Geomatics Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran
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Cited
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