A study of ionospheric anomaly detection before the August 14, 2021 Mw7.2 earthquake in Haiti based on sliding interquartile range method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geophysics,Building and Construction
Link
https://link.springer.com/content/pdf/10.1007/s40328-023-00425-8.pdf
Reference33 articles.
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2. Ahmed J, Shah M, Awais M, Jin S, Zafar A, Ahmad W, Amin N, Shah A., Ali, Ali M, I (2022) Seismo-ionospheric anomalies before the 2019 Mirpur earthquake from ionosonde measurements. Adv Space Res 69:26–34. https://doi.org/10.1016/j.asr.2021.07.030
3. Akhoondzadeh M (2013) A MLP neural network as an investigator of TEC time series to detect seismo-ionospheric anomalies. Adv Space Res 51:2048–2057. https://doi.org/10.1016/j.asr.2013.01.012
4. Akhoondzadeh M, De Santis A, Marchetti D, Wang T (2022) Developing a deep learning-based detector of magnetic, Ne, Te and TEC anomalies from Swarm Satellites: the case of mw 7.1 2021 Japan Earthquake. 14:1582. https://doi.org/10.3390/rs14071582
5. Asaly S, Gottlieb L-A, Inbar N, Reuveni Y (2022) Using support Vector Machine (SVM) with GPS ionospheric TEC estimations to potentially predict earthquake events. 14:2822. https://doi.org/10.3390/rs14122822
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1. Observation of the Preparation Phase Associated with Mw = 7.2 Haiti Earthquake on 14 August 2021 from a Geophysical Data Point of View;Geosciences;2024-03-30
2. The Analysis of Ionospheric TEC Anomalies Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data;Remote Sensing;2024-02-11
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