Articles | Open Access | https://doi.org/10.55640/

Earthquake Sentinel: Unveiling Global Seismic Patterns Through Statistical Control Charts For Timely Anomaly Detection

Mohammad Fariha , Institute of Statistical Research and Training (ISRT), Bangladesh

Abstract

This study introduces an innovative approach, Earthquake Sentinel, utilizing Statistical Control Charts to monitor and unveil global seismic patterns. By leveraging statistical methodologies, our system aims to provide timely anomaly detection for seismic events, enabling proactive measures for risk mitigation and disaster preparedness. The methodology involves the continuous monitoring of earthquake frequency worldwide, identifying deviations from expected patterns, and triggering alerts for further investigation. Earthquake Sentinel contributes to the advancement of early warning systems, offering a valuable tool in the quest for improved global seismic risk management.

Keywords

Seismic Surveillance, Statistical Control Charts, Anomaly Detection

References

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Earthquake Sentinel: Unveiling Global Seismic Patterns Through Statistical Control Charts For Timely Anomaly Detection. (2024). International Journal of Data Science and Machine Learning, 4(01), 06-10. https://doi.org/10.55640/