2 citations · 2 across the 4 of their papers we have counts for
4 papers
Evaluating the SAIPy Performance using a Local Seismic Network for Volcano-Tectonic Earthquakes Monitoring
Claudia Quinteros-Cartaya, Francisco Javier Núñez-Cornú, Nishtha Srivastava
In this study, we evaluated the performance of SAIPy, an open-source Python package for deep learning-based seismic data analysis, by applying its single-station monitoring tools a…
Neural Earthquake Forecasting with Minimal Information: Limits, Interpretability, and the Role of Markov Structure
Jonas Koehler, Nishtha Srivastava, Kai Zhou +3
Forecasting earthquake sequences remains a central challenge in seismology, particularly under non-stationary conditions. While deep learning models have shown promise, their abili…
Exploring a CNN Model for Earthquake Magnitude Estimation using HR-GNSS data
Claudia Quinteros Cartaya, Jonas Koehler, Wei Li +2
High rate Global Navigation Satellite System (HR GNSS) data can be highly useful for earthquake analysis as it provides continuous high-rate measurements of ground motion. This dat…
Real-time Earthquake Monitoring using Deep Learning: a case study on Turkey Earthquake Aftershock Sequence
Wei Li, Jonas Koehler, Megha Chakraborty +3
Seismic phase picking and magnitude estimation are essential components of real time earthquake monitoring and earthquake early warning systems. Reliable phase picking enables the…