IONOSPHERIC DISTURBANCES & MACHINE LEARNING: VLF SIGNAL VARIATION DETECTION AND PERSPECTIVES
Peter Bednár, Aleksandra Nina, Aleksandra Kolarski, Peter Butka, Martin Sarnovský, Vladimir Srećković, Ognyan Kounchev
Publication
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.


