29 citations · 29 across the 4 of their papers we have counts for
4 papers
When linear inversion fails: neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice
Abolfazl Komeazi, Georg Rümpker, Johannes Faber +2
In this study, we present an artificial neural network (ANN)-based approach for travel-time tomography of a volcanic edifice. We employ ray tracing to simulate the propagation of s…
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…
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…