Employing convolution-enhanced attention mechanisms for earthquake detection and phase picking models

DiTing: A large-scale Chinese seismic benchmark dataset for artificial intelligence in seismology

(2023) Ming Zhao et al.   Earthquake Science

Building Precise Local Submarine Earthquake Catalogs via a Deep-Learning-Empowered Workflow and its Application to the Challenger Deep

(2022) Xueshan Wu et al.   Frontiers in Earth Science

Research on Seismic Signal Analysis Based on Machine Learning

(2022) Xinxin Yin et al.   Applied Sciences-Basel

Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array

(2021) Zhuowei Xiao et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

(2020) S. Mostafa Mousavi et al.   Nature Communications

Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking

(2020) Chengping Chai et al.   GEOPHYSICAL RESEARCH LETTERS

Deep Learning for Picking Seismic Arrival Times

(2019) Jian Wang et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Generalized Seismic Phase Detection with Deep Learning

(2018) Zachary E. Ross et al.   BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA

PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

(2018) Weiqiang Zhu et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

Automatic first-breaks picking: New strategies and algorithms

(2010) Juan I. Sabbione et al.   GEOPHYSICS

ObsPy: A Python Toolbox for Seismology

(2010) M. Beyreuther et al.   SEISMOLOGICAL RESEARCH LETTERS