Using machine learning technologies to solve the problem of classifying infrasound background monitoring signals

Using machine learning technologies to solve the problem of classifying infrasound background monitoring signals

It is widely known that among sound signals generated by natural and anthropogenic phenomena, the most long-lived are waves of frequency less than 20 Hz, called infrasound. This property allows tracking at a distance by infrasound monitoring the occurrence of high-energy events on regional scales...

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Bibliographic Details
Main Authors: Ivan N. Frolov, Nikolai G. Kudryavtsev, Varvara Yu. Safonova, Dmitry V. Kudin
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2024-02-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
machine learning
random forest model
artificial neural network
infrasound
permutation entropy
classification of time series fragments
Online Access:https://ntv.ifmo.ru/file/article/22605.pdf

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https://ntv.ifmo.ru/file/article/22605.pdf

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