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physics.geo-ph2026
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…
physics.geo-ph2023
Testing the Potential of Deep Learning in Earthquake Forecasting
Jonas Koehler, Wei Li, Johannes Faber +2
Reliable earthquake forecasting methods have long been sought after, and so the rise of modern data science techniques raises a new question: does deep learning have the potential…
physics.geo-ph2021
AWESAM: A Python Module for Automated Volcanic Event Detection Applied to Stromboli
Darius Fenner, Georg Ruempker, Wei Li +5
Many active volcanoes in the world exhibit Strombolian activity, which is typically characterized by relatively frequent mild events and also by rare and much more destructive majo…