What question did this study set out to answer?

This research aims to determine if states of polarization in submarine cables can detect seismic activity.

Seismic detection using submarine cable polarization signals with machine learning

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The study evaluates the feasibility of using submarine cable signals to detect earthquakes, suggesting new monitoring methods.

This research aims to determine if states of polarization in submarine cables can detect seismic activity.
Analyzed polarization time series from the Med-Nautilus cable (2022-2024)
Examined the impact of seismic events on polarization states
Applied supervised and unsupervised machine learning models for classification
Moderate to large earthquakes (magnitude ≥ 5) induced detectable polarization anomalies
Extreme Gradient Boosting model achieved 60% accuracy in identifying seismic signals
First empirical validation of using polarization for seismic detection in live cables

Caruso et al. (2026) studied this question.

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View Full Paper

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Authors

The study evaluates the feasibility of using submarine cable signals to detect earthquakes, suggesting new monitoring methods.

This research aims to determine if states of polarization in submarine cables can detect seismic activity.
Analyzed polarization time series from the Med-Nautilus cable (2022-2024)
Examined the impact of seismic events on polarization states
Applied supervised and unsupervised machine learning models for classification
Moderate to large earthquakes (magnitude ≥ 5) induced detectable polarization anomalies
Extreme Gradient Boosting model achieved 60% accuracy in identifying seismic signals
First empirical validation of using polarization for seismic detection in live cables

Caruso et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark