29 citations · 35 across the 7 of their papers we have counts for
7 papers
SAIPy: A Python Package for single station Earthquake Monitoring using Deep Learning
Wei Li, Megha Chakraborty, Claudia Quinteros Cartaya +4
Seismology has witnessed significant advancements in recent years with the application of deep learning methods to address a broad range of problems. These techniques have demonstr…
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…
CREIME: A Convolutional Recurrent model for Earthquake Identification and Magnitude Estimation
Megha Chakraborty, Darius Fenner, Wei Li +5
The detection and rapid characterisation of earthquake parameters such as magnitude are of prime importance in seismology, particularly in applications such as Earthquake Early War…
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…