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Why Are New Approaches to Seismic Hazard Assessment Required?

Doklady earth sciences, 2022-11, Vol.507 (1), p.930-935

2022

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Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation

1st Edition 2020, 2020

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Geodynamic Model of the Northern Part of the Nizhnekansk Massif: Fault Tectonics, Deformations, and Insulation Properties of Rock Displacements

Doklady earth sciences, 2022-11, Vol.507 (1), p.909-915

2022

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Methods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series

Physics of atomic nuclei, 2021-11, Vol.84 (6), p.1080-1086

2021

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The Velocities of Modern Horizontal Movements of Earth Crust in the South Sector of Yenisei Ridge According to GNSS Observations

Doklady earth sciences, 2020-07, Vol.493 (1), p.544-547

2020

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FCaZm intelligent recognition system for locating areas prone to strong earthquakes in the Andean and Caucasian mountain belts

Izvestiya. Physics of the solid earth, 2016-07, Vol.52 (4), p.461-491

2016

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Recognition of earthquake-prone areas: Methodology and analysis of the results

Izvestiya. Physics of the solid earth, 2014-03, Vol.50 (2), p.151-168

2014

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Geoinformatics and observations of the Earth’s magnetic field: The Russian segment

Izvestiya. Physics of the solid earth, 2015-03, Vol.51 (2), p.157-175

2015

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Problem of Recognition of Strong-Earthquake-Prone Areas: a State-of-the-Art Review

Izvestiya. Physics of the solid earth, 2020, Vol.56 (1), p.1-23

2020

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Big Data in Geophysics and Other Earth Sciences

Izvestiya. Physics of the solid earth, 2022-02, Vol.58 (1), p.1-29

2022

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Prospects for Synthesizing Ecological Risk Models and Big Data Technologies for Marine Ecosystems

Izvestiya. Physics of the solid earth, 2022-08, Vol.58 (4), p.534-543

2022

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Nearest Neighbor Method for Discriminating Aftershocks and Duplicates When Merging Earthquake Catalogs

Frontiers in earth science (Lausanne), 2022-02, Vol.10

2022

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Algorithmic recognition of anomalous time intervals in sea-level observations

Izvestiya. Physics of the solid earth, 2016-03, Vol.52 (2), p.259-270

2016

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Analysis of MLP Structures for Geomagnetic Storm Recognition Based on Ground-Based Cosmic Ray Data

Bulletin of the Russian Academy of Sciences. Physics, 2023-07, Vol.87 (7), p.1074-1076

2023

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Estimating the Influence of Geomagnetic Disturbances on the Trajectory of the Directional Drilling of Deep Wells in the Arctic Region

Izvestiya. Physics of the solid earth, 2018-07, Vol.54 (4), p.554-564

2018

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Recognition of geomagnetic storms from time series of matrix observations with the muon hodoscope URAGAN using neural networks of deep learning

Solar-terrestrial physics, 2024-03, Vol.10 (1), p.76-83

2024

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Recognition of disturbances with specified morphology in time series. Part 1: Spikes on magnetograms of the worldwide INTERMAGNET network

Izvestiya. Physics of the solid earth, 2010-11, Vol.46 (11), p.1004-1016

2010

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Recognition of Local Anisotropies of Muon Fluxes Using Normalized Variations for Matrix Observations of the URAGAN Hodoscope

Pattern recognition and image analysis, 2023-06, Vol.33 (2), p.192-202

2023

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Nanoaerosol formation in the troposphere under the action of cosmic radiation

Izvestiya. Atmospheric and oceanic physics, 2014-03, Vol.50 (2), p.152-159

2014

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Modeling the evolutionary demographic processes for geomedicine

Izvestiya. Atmospheric and oceanic physics, 2014-12, Vol.50 (7), p.661-668

2014

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GIS-Oriented Database for the System Analysis and Prediction of the Geodynamic Stability of the Nizhne-Kansky Massif

Izvestiya. Atmospheric and oceanic physics, 2021-12, Vol.57 (9), p.1151-1161

2021

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Erratum to: Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations

Geomagnetism and Aeronomy, 2022-12, Vol.62 (6), p.815-815

2022

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Application of Indicator Matrices for the Recognition of Local Anisotropies of Muon Fluxes in Time Series of Matrix Observations of the URAGAN Hodoscope

Pattern recognition and image analysis, 2022-09, Vol.32 (3), p.717-728

2022

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Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations

Geomagnetism and Aeronomy, 2022-08, Vol.62 (4), p.388-398

2022

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Method for the Identification of Heliospheric Anomalies Based on the Functions of the Characteristic Deviations for the Observation Matrices of the Muon Hodoscope

Physics of atomic nuclei, 2019-11, Vol.82 (6), p.924-928

2019

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Why Are New Approaches to Seismic Hazard Assessment Required?

Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation

Geodynamic Model of the Northern Part of the Nizhnekansk Massif: Fault Tectonics, Deformations, and Insulation Properties of Rock Displacements

Methods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series

The Velocities of Modern Horizontal Movements of Earth Crust in the South Sector of Yenisei Ridge According to GNSS Observations

FCaZm intelligent recognition system for locating areas prone to strong earthquakes in the Andean and Caucasian mountain belts

Recognition of earthquake-prone areas: Methodology and analysis of the results

Geoinformatics and observations of the Earth’s magnetic field: The Russian segment

Problem of Recognition of Strong-Earthquake-Prone Areas: a State-of-the-Art Review

Big Data in Geophysics and Other Earth Sciences

Prospects for Synthesizing Ecological Risk Models and Big Data Technologies for Marine Ecosystems

Nearest Neighbor Method for Discriminating Aftershocks and Duplicates When Merging Earthquake Catalogs

Algorithmic recognition of anomalous time intervals in sea-level observations

Analysis of MLP Structures for Geomagnetic Storm Recognition Based on Ground-Based Cosmic Ray Data

Estimating the Influence of Geomagnetic Disturbances on the Trajectory of the Directional Drilling of Deep Wells in the Arctic Region

Recognition of geomagnetic storms from time series of matrix observations with the muon hodoscope URAGAN using neural networks of deep learning

Recognition of disturbances with specified morphology in time series. Part 1: Spikes on magnetograms of the worldwide INTERMAGNET network

Recognition of Local Anisotropies of Muon Fluxes Using Normalized Variations for Matrix Observations of the URAGAN Hodoscope

Nanoaerosol formation in the troposphere under the action of cosmic radiation

Modeling the evolutionary demographic processes for geomedicine

GIS-Oriented Database for the System Analysis and Prediction of the Geodynamic Stability of the Nizhne-Kansky Massif

Erratum to: Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations

Application of Indicator Matrices for the Recognition of Local Anisotropies of Muon Fluxes in Time Series of Matrix Observations of the URAGAN Hodoscope

Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations

Method for the Identification of Heliospheric Anomalies Based on the Functions of the Characteristic Deviations for the Observation Matrices of the Muon Hodoscope

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