Why Are New Approaches to Seismic Hazard Assessment Required? von Shebalin, P. N., Gvishiani, A. D., Dzeboev, B. A., Skorkina, A. A.

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Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation von Gvishiani, Alexei, Soloviev, Anatoly

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Geodynamic Model of the Northern Part of the Nizhnekansk Massif: Fault Tectonics, Deformations, and Insulation Properties of Rock Displacements von Gvishiani, A. D., Tatarinov, V. N., Kaftan, V. I., Manevich, A. I., Minaev, V. A., Ustinov, S. A., Shevchuk, R. V.

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Methods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series von Getmanov, V. G., Chinkin, V. E., Sidorov, R. V., Gvishiani, A. D., Dobrovolsky, M. N., Soloviev, A. A., Dmitrieva, A. N., Kovylyaeva, A. A., Yashin, I. I.

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The Velocities of Modern Horizontal Movements of Earth Crust in the South Sector of Yenisei Ridge According to GNSS Observations von Gvishiani, A. D., Tatarinov, V. N., Kaftan, V. I., Manevich, A. I., Dzeboev, B. A., Losev, I. V.

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FCaZm intelligent recognition system for locating areas prone to strong earthquakes in the Andean and Caucasian mountain belts von Gvishiani, A. D., Dzeboev, B. A., Agayan, S. M.

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Recognition of earthquake-prone areas: Methodology and analysis of the results von Soloviev, A. A., Gvishiani, A. D., Gorshkov, A. I., Dobrovolsky, M. N., Novikova, O. V.

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Geoinformatics and observations of the Earth’s magnetic field: The Russian segment von Gvishiani, A. D., Lukianova, R. Yu

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Problem of Recognition of Strong-Earthquake-Prone Areas: a State-of-the-Art Review von Gvishiani, A. D., Soloviev, A. A., Dzeboev, B. A.

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A Method for Forecasting Geomagnetic Storms Based on Deep Learning Neural Networks Using Time Series of Matrix Observations of the Uragan Muon Hodoscope von Getmanov, V. G., Gvishiani, A. D., Soloviev, A. A., Zaitsev, K. S., Dunaev, M. E., Yekhlakov, E. V.

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Big Data in Geophysics and Other Earth Sciences von Gvishiani, A. D., Dobrovolsky, M. N., Dzeranov, B. V., Dzeboev, B. A.

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Parameters of the Seismic Regime of the Eastern Sector of the Arctic Zone of the Russian Federation von Vorobieva, I. A., Shebalin, P. N., Gvishiani, A. D., Dzeboev, B. A., Dzeranov, B. V., Malyutin, P. A.

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Prospects for Synthesizing Ecological Risk Models and Big Data Technologies for Marine Ecosystems von Gvishiani, A. D., Lobkovsky, L. I., Solovjova, N. V.

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Nearest Neighbor Method for Discriminating Aftershocks and Duplicates When Merging Earthquake Catalogs von Vorobieva, I. A., Gvishiani, A. D., Dzeboev, B. A., Dzeranov, B. V., Barykina, Y. V., Antipova, A. O.

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Algorithmic recognition of anomalous time intervals in sea-level observations von Getmanov, V. G., Gvishiani, A. D., Kamaev, D. A., Kornilov, A. S.

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Estimating the Influence of Geomagnetic Disturbances on the Trajectory of the Directional Drilling of Deep Wells in the Arctic Region von Gvishiani, A. D., Lukianova, R. Yu

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Analysis of MLP Structures for Geomagnetic Storm Recognition Based on Ground-Based Cosmic Ray Data von Chinkin, V. E., Getmanov, V. G., Gvishiani, A. D., Yashin, I. I., Kovylyaeva, A. A.

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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 von Getmanov, Viktor, Gvishiani, Alexei, Soloviev, Anatoly, Zajtsev, Konstantin, Dunaev, Maksim, Ehlakov, Eduard

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Theorems and Problems in Functional Analysis von Kirillov, A. A, Gvishiani, A. D

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Recognition of Local Anisotropies of Muon Fluxes Using Normalized Variations for Matrix Observations of the URAGAN Hodoscope von Getmanov, V. G., Chinkin, V. E., Gvishiani, A. D., Dobrovolsky, M. N., Sidorov, R. V., Soloviev, A. A., Yashin, I. I., Dmitrieva, A. N., Kovylyaeva, A. A.

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