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Convolutional neural network for earthquake detection and location
The recent evolution of induced seismicity in Central United States calls for exhaustive catalogs to improve seismic hazard assessment. Over the last decades, the volume of seismic data has increased exponentially, creating a need for efficient algorithms to reliably detect and locate earthquakes. T...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Sci Adv |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
American Association for the Advancement of Science
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5817932/ https://ncbi.nlm.nih.gov/pubmed/29487899 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.1700578 |
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