SA
Seismology and Earthquake Studies
This cluster of papers focuses on the application of machine learning and deep learning techniques to improve the accuracy and timeliness of earthquake early warning systems. It covers topics such as seismic signal classification, real-time seismology, convolutional neural networks for seismic phase picking, and the integration of citizen science in earthquake monitoring.
57,113
Publications
271,889
Citations
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- Article (119,129)
- Dataset (15,834)
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- Tujin Shi (5,836)
- Weijun Qian (5,135)
- Yinyin Ye (3,489)
- Tai‐Tu Lin (3,489)
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- Seismology and Earthquake Studies (160,171)
- earthquake and tectonic studies (53,678)
- Seismic Waves and Analysis (50,040)
- Earthquake Detection and Analysis (37,778)
- Seismic Imaging and Inversion Techniques (25,777)