most citedAn acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering

34 citations · 110 across the 7 of their papers we have counts for

collaborators
Showing physics.geo-phShow all

3 papers · 1 filter

physics.geo-ph2022★ 29 cited

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…

physics.geo-ph2022★ 5 cited

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…

physics.geo-ph2021★ 4 cited

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…