EQConvMixer: A Deep Learning Approach for Earthquake Location From Single-Station Waveforms-Reference-Cited by-同舟云学术

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EQConvMixer: A Deep Learning Approach for Earthquake Location From Single-Station Waveforms

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Elsayed Hagar S.¹,Saad Omar M.¹^ORCID,Soliman M. Sami¹^ORCID,Chen Yangkang²^ORCID,Youness Hassan A.³^ORCID

Affiliation:

1. Seismology Department, ENSN Laboratory, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt

2. Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA

3. Department of Computers and Systems Engineering, Faculty of Engineering, Minia University, Minia, Egypt

Funder

National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10239464.pdf?arnumber=10239464

Reference23 articles.

1. Estimation of Magnitude and Epicentral Distance From Seismic Waves Using Deeper CRNN

2. Complex Neural Networks for Estimating Epicentral Distance, Depth, and Magnitude of Seismic Waves

3. STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI

4. INSTANCE – the Italian seismic dataset for machine learning

5. Patches are all you need?;trockman;arXiv 2201 09792,2022

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1. Machine Learning‐Assisted Microearthquake Location Workflow for Monitoring the Newberry Enhanced Geothermal System;Journal of Geophysical Research: Machine Learning and Computation;2024-09

2. Identification of Multiple Events Based on Two-Dimensional Images and Isotropic Network in Optical Fiber Perimeter Security System;IEEE Sensors Journal;2024-08-01

3. VGG Model for Peak Ground Acceleration Prediction;2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI);2024-05-12

4. TXED: The Texas Earthquake Dataset for AI;Seismological Research Letters;2024-01-24

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