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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

IEEE Geoscience and Remote Sensing Letters (GRSL), 2020
20 April 2020
Roma Kail
Alexey Zaytsev
Evgeny Burnaev
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Long-term drought prediction using deep neural networks based on
  geospatial weather data
Long-term drought prediction using deep neural networks based on geospatial weather dataEnvironmental Modelling & Software (Environ. Model. Softw.), 2023
Alexander Marusov
Vsevolod Grabar
Yury Maximov
Nazar Sotiriadi
Alexander Bulkin
Alexey Zaytsev
408
29
0
12 Sep 2023
Correcting sampling biases via importance reweighting for spatial
  modeling
Correcting sampling biases via importance reweighting for spatial modeling
Boris Prokhorov
Diana Koldasbayeva
Alexey Zaytsev
401
0
0
09 Sep 2023
Predicting spatial distribution of Palmer Drought Severity Index
Predicting spatial distribution of Palmer Drought Severity Index
V. Grabar
Yury Maximov
A. Zaytsev
225
1
0
31 Aug 2022
Usage of specific attention improves change point detection
Usage of specific attention improves change point detection
Anna Dmitrienko
Galina Boeva
Alexey Zaytsev
166
0
0
18 Apr 2022
Similarity learning for wells based on logging data
Similarity learning for wells based on logging dataJournal of Petroleum Science and Engineering (JPSE), 2022
Galina Boeva
Alina Rogulina
A. Shakirov
N. Stulov
Alexey Zaytsev
L. Ismailova
D. Kovalev
Klemens Katterbauer
A. Alshehri
204
19
0
11 Feb 2022
A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
A CNN-BiLSTM Model with Attention Mechanism for Earthquake PredictionJournal of Supercomputing (JS), 2021
Parisa Kavianpour
Mohammadreza Kavianpour
E. Jahani
Amin Ramezani
183
129
0
26 Dec 2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
Arpit Bansal
Micah Goldblum
Valeriia Cherepanova
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
247
9
0
17 Jun 2021
1
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