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Grid-Characteristic Numerical Method on an Irregular Grid with Extending the Interpolation Stencil

Computational mathematics and mathematical physics, 2023-10, Vol.63 (10), p.1751-1759

2023

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Numerical Modeling of Ultrasound Artifacts with Grid-Characteristic Method

Lobachevskii journal of mathematics, 2023, Vol.44 (1), p.259-268

2023

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Numerical modelling of thin anisotropic membrane under dynamic load

Aeronautical journal, 2021-01, Vol.125 (1283), p.109-126

2021

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On Obtaining Initial Approximation for the Full Wave Inversion Problem Using Convolutional Neural Network

Doklady. Mathematics, 2023-08, Vol.108 (1), p.291-296

2023

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Modeling Soil Deformation during Permafrost Thawing

Turkish journal of computer and mathematics education, 2021-04, Vol.12 (3), p.5393-5398

Et. al, A.V. Vasyukov

2021

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Learning Velocity Model for Complex Media with Deep Convolutional Neural Networks

Lobachevskii journal of mathematics, 2024, Vol.45 (1), p.336-345

2024

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On Numerical Modeling of Fiber Deformation and Destruction under Impact Load

Doklady. Mathematics, 2022-06, Vol.105 (3), p.207-211

2022

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Modeling a Thin Fiber Deformation and Destruction under a Dynamic Load

Mathematical models and computer simulations, 2021, Vol.13 (1), p.60-65

2021

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Grid-Characteristic Method on Tetrahedral Unstructured Meshes with Large Topological Inhomogeneities

Computational mathematics and mathematical physics, 2018-08, Vol.58 (8), p.1259-1269

2018

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Erratum to: On Numerical Modeling of Fiber Deformation and Destruction under Impact Load

Doklady. Mathematics, 2022, Vol.106 (1), p.303-303

2022

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Bone marrow edema in terms of joint pathology

Innovacionnaâ medicina Kubani (Online), 2020-11 (4), p.58-64

2020

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On the Estimation of Seismic Resistance of Modern Composite Oil Pipeline Elements

Doklady. Mathematics, 2018-03, Vol.97 (2), p.184-187

2018

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Numerical Modeling of the Seismic Influence on an Underwater Composite Oil Pipeline

Mathematical models and computer simulations, 2019-09, Vol.11 (5), p.715-721

2019

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Grid-Characteristic Numerical Method for Low-Velocity Impact Testing of Fiber-Metal Laminates

Lobachevskii journal of mathematics, 2018-09, Vol.39 (7), p.874-883

2018

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Simulation of dynamic processes in three-dimensional layered fractured media with the use of the grid-characteristic numerical method

Journal of applied mechanics and technical physics, 2017-05, Vol.58 (3), p.539-545

2017

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Numerical simulation of the failure of composite materials by using the grid-characteristic method

Mathematical models and computer simulations, 2016-09, Vol.8 (5), p.557-567

2016

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Locating the Interface between Different Media Based on Matrix Ultrasonic Sensor Data Using Convolutional Neural Networks

Computational Mathematics and Information Technologies, 2024-07, Vol.8 (2), p.60-67

Vasyukov, A. V.

2024

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Numerical simulation of dynamic processes in biomechanics using the grid-characteristic method

Computational mathematics and mathematical physics, 2015-08, Vol.55 (8), p.1346-1355

2015

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Grid-Characteristic Numerical Method on an Irregular Grid with Extending the Interpolation Stencil

Z̆urnal vyc̆islitelʹnoj matematiki i matematic̆eskoj fiziki, 2023-10, Vol.63 (10), p.1591-1599

2023

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Combined grid-characteristic method for the numerical solution of three-dimensional dynamical elastoplastic problems

Computational mathematics and mathematical physics, 2014-07, Vol.54 (7), p.1176-1189

2014

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Fractured inclusion localization and characterization based on deep convolutional neural networks

Procedia Structural Integrity, 2023, Vol.43, p.29-34

2023

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DEEP CONVOLUTIONAL NEURAL NETWORKS IN SEISMIC EXPLORATION PROBLEMS

Interfacial phenomena and heat transfer, 2022, Vol.10 (3), p.61-74

2022

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Using 2D/3D convolutional neural networks and direct numerical modeling for ranscranial ultrasound problems

Dalʹnevostochnyĭ matematicheskiĭ zhurnal, 2022, Vol.22 (2), p.255-256

2022

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Regenerative potential of platelet-rich plasma in the treatment of focal osteochondral defects of the knee joint after microfracturing in the experiment

Practical medicine, 2022, Vol.20 (4), p.133-139

2022

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Numerical simulation of wave propagation in anisotropic media

Doklady. Mathematics, 2014-11, Vol.90 (3), p.778-780

2014

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Grid-Characteristic Numerical Method on an Irregular Grid with Extending the Interpolation Stencil

Numerical Modeling of Ultrasound Artifacts with Grid-Characteristic Method

Numerical modelling of thin anisotropic membrane under dynamic load

On Obtaining Initial Approximation for the Full Wave Inversion Problem Using Convolutional Neural Network

Modeling Soil Deformation during Permafrost Thawing

Learning Velocity Model for Complex Media with Deep Convolutional Neural Networks

On Numerical Modeling of Fiber Deformation and Destruction under Impact Load

Modeling a Thin Fiber Deformation and Destruction under a Dynamic Load

Grid-Characteristic Method on Tetrahedral Unstructured Meshes with Large Topological Inhomogeneities

Erratum to: On Numerical Modeling of Fiber Deformation and Destruction under Impact Load

Bone marrow edema in terms of joint pathology

On the Estimation of Seismic Resistance of Modern Composite Oil Pipeline Elements

Numerical Modeling of the Seismic Influence on an Underwater Composite Oil Pipeline

Grid-Characteristic Numerical Method for Low-Velocity Impact Testing of Fiber-Metal Laminates

Simulation of dynamic processes in three-dimensional layered fractured media with the use of the grid-characteristic numerical method

Numerical simulation of the failure of composite materials by using the grid-characteristic method

Locating the Interface between Different Media Based on Matrix Ultrasonic Sensor Data Using Convolutional Neural Networks

Numerical simulation of dynamic processes in biomechanics using the grid-characteristic method

Grid-Characteristic Numerical Method on an Irregular Grid with Extending the Interpolation Stencil

Combined grid-characteristic method for the numerical solution of three-dimensional dynamical elastoplastic problems

Fractured inclusion localization and characterization based on deep convolutional neural networks

DEEP CONVOLUTIONAL NEURAL NETWORKS IN SEISMIC EXPLORATION PROBLEMS

Using 2D/3D convolutional neural networks and direct numerical modeling for ranscranial ultrasound problems

Regenerative potential of platelet-rich plasma in the treatment of focal osteochondral defects of the knee joint after microfracturing in the experiment

Numerical simulation of wave propagation in anisotropic media

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