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Serbian Astronomical Journal

IONOSPHERIC DISTURBANCES & MACHINE LEARNING: VLF SIGNAL VARIATION DETECTION AND PERSPECTIVES

Peter Bednár, Aleksandra Nina, Aleksandra Kolarski, Peter Butka, Martin Sarnovský, Vladimir Srećković, Ognyan Kounchev

Book of Abstracts and Contributed Papers ,
Pages: 78-79,
https://doi.org/10.69646/aob260918

2nd International Meeting on Building Bridges Between Climate Science and Society Through a Transdisciplinary Network
Published by: Scientific Society Isaac Newton Belgrade
Published: 2026

Abstract
Very Low Frequency (VLF; 3-30 kHz) radio signals´ variations recorded in Belgrade (Serbia) were investigated by utilization of different machine learning techniques, in order to examine their possible relation to different types of natural hazards. Both VLF amplitude and phase data were inspected in time- and frequency-domain, revealing detectable data patterns with promising future research directions. Main findings are presented here.
2nd International Meeting on Building Bridges Between Climate Science and Society Through a Transdisciplinary Network