29 citations · 42 across the 18 of their papers we have counts for
4 papers · 1 filter
A study on the effect of input data length on deep learning based magnitude classifier
Megha Chakraborty, Wei Li, Johannes Faber +3
The rapid characterisation of earthquake parameters such as its magnitude is at the heart of Earthquake Early Warning (EEW). In traditional EEW methods the robustness in the estima…
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…
EPick: Multi-Class Attention-based U-shaped Neural Network for Earthquake Detection and Seismic Phase Picking
Wei Li, Megha Chakraborty, Darius Fenner +5
Earthquake detection and seismic phase picking not only play a crucial role in travel time estimation of body waves(P and S waves) but also in the localisation of the epicenter of…
Sunda-arc seismicity: continuing increase of high-magnitude earthquakes since 2004
Nishtha Srivastava, Jonas Koehler, F. Alejandro Nava +9
Spatial and temporal data for earthquakes with magnitude M greater than or equal to 6.5 can provide crucial information about the seismic history and potential for large earthquake…