6 papers
Probabilistic and Alarm-Based Evaluation of a b-Value-Driven Deep Learning Earthquake Forecast
Jonas Köhler, Wei Li, Johannes Faber +2
We evaluate the forecasting performance of a deep learning model, originally introduced as a pattern-extraction framework, that operates on the spatiotemporal evolution of seismic…
An Interpretable Physics Informed Multi-Stream Deep Learning Architecture for the Discrimination between Earthquake, Quarry Blast and Noise
Nishtha Srivastava, Johannes Faber, Dhruv Aditya Srivastava
The reliable discrimination of tectonic earthquakes from anthropogenic quarry blasts and transient noise remains a critical challenge in single station seismic monitoring. In this…
Detecting Spatiotemporal b-Value Anomalies with a Progressive Deep Learning Architecture
Jonas Köhler, Wei Li, Johannes Faber +2
Identifying systematic patterns in seismicity that precede large earthquakes remains a central challenge in statistical seismology. In this work, we present a methodological framew…
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…
A Deep Learning Pipeline for Large Earthquake Analysis using High-Rate Global Navigation Satellite System Data
Claudia Quinteros-Cartaya, Javier Quintero-Arenas, Andrea Padilla-Lafarga +5
Deep learning techniques for processing large and complex datasets have unlocked new opportunities for fast and reliable earthquake analysis using Global Navigation Satellite Syste…
High Magnitude Earthquake Identification Using an Anomaly Detection Approach on HR GNSS Data
Javier Quintero Arenas, Claudia Quinteros Cartaya, Andrea Padilla Lafarga +4
Earthquake early warning systems are crucial for protecting areas that are subject to these natural disasters. An essential part of these systems is the detection procedure. Tradit…