Specific changes in VLF signals induced by astrophysical and geophysical phenomena: possibility of applying machine learning in statistical analyses

AbstractIn this paper, we present examples of changes in VLF signals used to monitor the lower ionosphere. The mentioned changes in signal characteristics are caused by astro- and geo-phenomena. We indicate the possibility of applying machine learning in statistical analysis of these changes, which is the basis of the work on the Serbian Slovak bilateral project Detection of astrophysical and geophysical phenomena from VLF radio measurements using machine learning methods. - FULL TEXT available in PDF.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.69646/aob241113
Primary Topic
Statistical and numerical algorithms
Type
article
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Specific changes in VLF signals induced by astrophysical and geophysical phenomena: possibility of applying machine learning in statistical analyses

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Statistical and numerical algorithms
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Specific changes in VLF signals induced by astrophysical and geophysical phenomena: possibility of applying machine learning in statistical analyses

Aleksandra Nina, Peter Butka, Luka Č. Popović, Martin Sarnovský, Aleksandra Kolarski, Vladimir A. Srécković, Peter Bednár
article en

Abstract

AbstractIn this paper, we present examples of changes in VLF signals used to monitor the lower ionosphere. The mentioned changes in signal characteristics are caused by astro- and geo-phenomena. We indicate the possibility of applying machine learning in statistical analysis of these changes, which is the basis of the work on the Serbian Slovak bilateral project Detection of astrophysical and geophysical phenomena from VLF radio measurements using machine learning methods. - FULL TEXT available in PDF.

Openalex Percentile: Top 62%
Statistical and numerical algorithms
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