Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning
International audience The continuously growing amount of seismic data collected worldwide is outpacing our abilities for analysis, since to date, such datasets have been analyzed in a human-expert-intensive, supervised fashion. Moreover, analyses that are conducted can be strongly biased by the sta...
Published in: | Nature Communications |
---|---|
Main Authors: | , , , , , |
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2020
|
Subjects: | |
Online Access: | https://hal.univ-grenoble-alpes.fr/hal-03411505 https://hal.univ-grenoble-alpes.fr/hal-03411505/document https://hal.univ-grenoble-alpes.fr/hal-03411505/file/Preprint.pdf https://doi.org/10.1038/s41467-020-17841-x |