5 citations · 9 across the 4 of their papers we have counts for
4 papers
Deep Learning-based Small Magnitude Earthquake Detection and Seismic Phase Classification
Wei Li, Yu Sha, Kai Zhou +4
Reliable earthquake detection and seismic phase classification is often challenging especially in the circumstances of low magnitude events or poor signal-to-noise ratio. With impr…
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…