Detecting Anomalies in Radon and Thoron Time Series Data Using Kernel and Wavelet Density Estimation Methods

Long-term monitoring of radon (²²²Rn) and thoron (²²⁰Rn) radioactive gases has been used in earthquake forecasting. Seismic activity before earthquakes raises the levels of these gases, causing abnormalities in the baseline values of radon and thoron time series (RTTS) data. Th...

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Bibliografski detalji

Glavni autori:	Muhammad Rafique, Awais Rasheed, Muhammad Osama, Adil Aslam Mir, Dimitrios Nikolopoulos, Kyriaki Kiskira, Aftab Alam, Georgios Prezerakos, Aqib Javed, Panayiotis Yannakopoulos, Christos Drosos, Georgios Priniotakis, Nikitas Gerolimos, Michail Papoutsidakis, Kimberlee Jane Kearfott, Saeed Ur Rahman
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-02-01
Serija:	Geosciences
Teme:	anomaly detection radon thoron seismic events kernel density estimation radioactivity
Online pristup:	https://www.mdpi.com/2076-3263/16/2/64
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