Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning
Seismic data recorded at industrial sites contain valuable information on anthropogenic activities. With advances in machine learning and computing power, new opportunities have emerged to explore the seismic wavefield in these complex environments. We applied two unsupervised machine learning algor...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Seismological Society of America
2025-01-01
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| Colección: | The Seismic Record |
| Acceso en línea: | https://doi.org/10.1785/0320240046 |
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