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Recurrent Convolutional Neural Networks help to predict location of
  Earthquakes
v1v2v3 (latest)

Recurrent Convolutional Neural Networks help to predict location of Earthquakes

20 April 2020
Roma Kail
Alexey Zaytsev
Evgeny Burnaev
ArXiv (abs)PDFHTML

Papers citing "Recurrent Convolutional Neural Networks help to predict location of Earthquakes"

6 / 6 papers shown
Title
Usage of multiple RTL features for Earthquake prediction
Usage of multiple RTL features for Earthquake prediction
P. Proskura
A. Zaytsev
I. Braslavsky
Evgenii Egorov
Evgeny Burnaev
15
6
0
26 May 2019
CRED: A Deep Residual Network of Convolutional and Recurrent Units for
  Earthquake Signal Detection
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Mostafa Mousavi
Weiqiang Zhu
Y. Sheng
G. Beroza
39
269
0
03 Oct 2018
Data-driven model for the identification of the rock type at a drilling
  bit
Data-driven model for the identification of the rock type at a drilling bit
Nikita Klyuchnikov
Alexey Zaytsev
A. Gruzdev
Georgiy Ovchinnikov
Ksenia Antipova
...
V. Koryabkin
I. Simon
A. Tsurgan
Fedor V Krasnov
D. Koroteev
44
55
0
08 Jun 2018
Targeted change detection in remote sensing images
Targeted change detection in remote sensing images
V. Ignatiev
A. Trekin
V. Lobachev
Georgy Potapov
Evgeny Burnaev
86
17
0
14 Mar 2018
Influence of Resampling on Accuracy of Imbalanced Classification
Influence of Resampling on Accuracy of Imbalanced Classification
Evgeny Burnaev
P. Erofeev
A. Papanov
32
96
0
12 Jul 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,341
0
18 May 2015
1