Literature DB >> 34362887

Machine learning and earthquake forecasting-next steps.

Gregory C Beroza1, Margarita Segou2, S Mostafa Mousavi3.   

Abstract

Entities:  

Year:  2021        PMID： 34362887     DOI： 10.1038/s41467-021-24952-6

Source DB:  PubMed          Journal:  Nat Commun        ISSN： 2041-1723            Impact factor:   14.919


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  3 in total

Review 1.  Machine learning for data-driven discovery in solid Earth geoscience.

Authors:  Karianne J Bergen; Paul A Johnson; Maarten V de Hoop; Gregory C Beroza
Journal:  Science       Date:  2019-03-22       Impact factor: 47.728

2.  Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning.

Authors:  Léonard Seydoux; Randall Balestriero; Piero Poli; Maarten de Hoop; Michel Campillo; Richard Baraniuk
Journal:  Nat Commun       Date:  2020-08-07       Impact factor: 14.919
  3 in total
  1 in total

1.  Revealing the spatiotemporal complexity of the magnitude distribution and b-value during an earthquake sequence.

Authors:  Marcus Herrmann; Ester Piegari; Warner Marzocchi
Journal:  Nat Commun       Date:  2022-08-29       Impact factor: 17.694
  1 in total

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