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CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Earthquake signal detection is at the core of observational seismology. A good detection algorithm should be sensitive to small and weak events with a variety of waveform shapes, robust to background noise and non-earthquake signals, and efficient for processing large data volumes. Here, we introduc...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635521/ https://www.ncbi.nlm.nih.gov/pubmed/31311942 http://dx.doi.org/10.1038/s41598-019-45748-1 |