Bi-directional Pre-trained Network for Single-station Seismic Waveform Analysis
The application of machine learning, particularly deep learning methods, is becoming increasingly widespread in seismology, achieving near-human accuracy in tasks such as phase detection and event classification. However, most neural network models in seismology currently focus on single tasks. Base...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Editorial Office of Computerized Tomography Theory and Application
2025-01-01
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Series: | CT Lilun yu yingyong yanjiu |
Subjects: | |
Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.162 |
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