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Dmitry M. Vishnevsky
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Journal Articles
- 2023
- [j3]Kirill Gadylshin
, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Kseniia Gadylshina:
Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network. Comput. Geosci. 180: 105438 (2023) - 2021
- [j2]Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko:
A multi-level parallel algorithm for seismic imaging based on one-way wave equation migration. Comput. Math. Appl. 97: 344-354 (2021) - 2018
- [j1]Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko
, Boris M. Moroz:
Parallel GPU-based Implementation of One-Way Wave Equation Migration. Supercomput. Front. Innov. 5(3): 34-37 (2018)
Conference and Workshop Papers
- 2024
- [c12]Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky:
NDM-Net and Model Changes. ICCSA (Workshops 3) 2024: 263-275 - [c11]Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky:
Effective Numerical Dispersion Suppression in 3D Seismic Modeling. ICCSA (Workshops 3) 2024: 276-289 - [c10]Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky:
Reducing Numerical Dispersion in Pseudo-3D Space and Constructing Training Dataset. ICCSA (Workshops 3) 2024: 352-366 - 2023
- [c9]Elena Gondyul, Vadim V. Lisitsa
, Kirill Gadylshin, Dmitry M. Vishnevsky:
Numerical Dispersion Mitigation Neural Network with the Model-Based Training Dataset Optimization. ICCSA (Workshops 3) 2023: 19-30 - [c8]Kirill Gadylshin
, Vadim V. Lisitsa
, Kseniia Gadylshina
, Dmitry M. Vishnevsky
:
Frequency Domain Numerical Dispersion Mitigation Network. ICCSA (Workshops 3) 2023: 31-44 - [c7]Kirill Gadylshin
, Vadim V. Lisitsa
, Kseniia Gadylshina
, Dmitry M. Vishnevsky
:
Adaptive Data-Based Optimization of the Training Dataset for the NDM-net. ICCSA (Workshops 3) 2023: 76-90 - 2022
- [c6]Kirill Gadylshin, Vadim V. Lisitsa
, Kseniia Gadylshina, Dmitry M. Vishnevsky:
Optimization of the Training Dataset for Numerical Dispersion Mitigation Neural Network. ICCSA (Workshops 2) 2022: 295-309 - 2021
- [c5]Kirill Gadylshin, Vadim V. Lisitsa
, Kseniia Gadylshina, Dmitry M. Vishnevsky, Mikhail Novikov
:
Machine Learning-Based Numerical Dispersion Mitigation in Seismic Modelling. ICCSA (1) 2021: 34-47 - [c4]Mikhail Novikov
, Vadim V. Lisitsa
, Tatyana Khachkova, Galina V. Reshetova, Dmitry M. Vishnevsky:
Numerical Algorithm of Seismic Wave Propagation and Seismic Attenuation Estimation in Anisotropic Fractured Porous Fluid-Saturated Media. ICCSA (1) 2021: 434-448 - 2018
- [c3]Alexander L. Pleshkevich, Dmitry M. Vishnevsky, Vadim V. Lisitsa, Vadim D. Levchenko
:
Parallel Algorithm for One-Way Wave Equation Based Migration for Seismic Imaging. RuSCDays 2018: 125-135 - 2013
- [c2]Viktor I. Kostin, Vadim V. Lisitsa, Galina V. Reshetova, Vladimir A. Tcheverda, Dmitry M. Vishnevsky:
A hybrid parallel algorithm for simulating seismic wave propagation in complex 3D models containing intrusions. SpringSim (HPC) 2013: 7 - 1997
- [c1]V. G. Khajdukov, Vladimir D. Korneev, Victor I. Kostin, V. V. Kovalevsky, Victor E. Malyshkin
, Vladimir A. Tcheverda, Dmitry M. Vishnevsky:
Modelling of Seismic Wave Propagation for 2D Media (Direct and Inverse Problems). PaCT 1997: 350-357
Coauthor Index
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