2 publications

  • Published Subscription

    Analysing Seismo-electromagnetic Waves through Wavelet Transformation

    Abstract: This research has presented a sophisticated methodology for studying lithosphere-ionosphere coupling phenomena, emphasising the identification of pre-seismic activity through seismo-electromagnetic signal processing. The application of an advanced electric field monitoring device, coupled with the precision of the Discrete Wavelet Transform (DWT), has allowed us to uncover nuanced patterns in the ULF range, specifically related to seismic events during the Kumamoto Earthquakes. The detailed statistical analysis further supports the significance of …

    Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 10–17 Read article

  • Published Subscription

    Machine Learning Approach for Analysis of Ionosphere Parameters for Earthquake Precursors

    Abstract: This research explores the relationship between seismic events and predictive indicators, focusing on machine learning-based strategies for early earthquake prediction. It dissects existing prediction approaches, highlighting ionospheric anomalies' correlation with seismic occurrences, particularly preceding earthquakes of magnitudes higher than 5.5. By identifying a lack of comprehensive long-term analyses in the field, the study emphasizes future trends in machine learning-driven EQ-PD techniques using GPS-TEC data for real-time anomaly detection. The methodology …

    Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 37–46 Read article

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