Dmitry M. Vishnevsky

17 papers B 1Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Monitoring CO
ICCSA (Workshops 3)
Elena Gondyul, Vadim V. Lisitsa, Dmitry M. Vishnevsky
2025 J jnl
Numerical dispersion mitigation neural network with velocity model correction.
Comput. Geosci.
Elena Gondyul, Vadim V. Lisitsa, Kirill Gadylshin, Dmitry M. Vishnevsky
2024 — conf
Effective Numerical Dispersion Suppression in 3D Seismic Modeling.
ICCSA (Workshops 3)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2024 — conf
NDM-Net and Model Changes.
ICCSA (Workshops 3)
Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky
2024 — conf
Reducing Numerical Dispersion in Pseudo-3D Space and Constructing Training Dataset.
ICCSA (Workshops 3)
Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky
2023 — conf
Adaptive Data-Based Optimization of the Training Dataset for the NDM-net.
ICCSA (Workshops 3)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2023 — conf
Frequency Domain Numerical Dispersion Mitigation Network.
ICCSA (Workshops 3)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2023 J jnl
Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network.
Comput. Geosci.
Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Kseniia Gadylshina
2023 — conf
Numerical Dispersion Mitigation Neural Network with the Model-Based Training Dataset Optimization.
ICCSA (Workshops 3)
Elena Gondyul, Vadim V. Lisitsa, Kirill Gadylshin, Dmitry M. Vishnevsky
2022 — conf
Optimization of the Training Dataset for Numerical Dispersion Mitigation Neural Network.
ICCSA (Workshops 2)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2021 J jnl
A multi-level parallel algorithm for seismic imaging based on one-way wave equation migration.
Comput. Math. Appl.
Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko
2021 — conf
Machine Learning-Based Numerical Dispersion Mitigation in Seismic Modelling.
ICCSA (1)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky, Mikhail Novikov
2021 — conf
Numerical Algorithm of Seismic Wave Propagation and Seismic Attenuation Estimation in Anisotropic Fractured Porous Fluid-Saturated Media.
ICCSA (1)
Mikhail Novikov, Vadim V. Lisitsa, Tatyana Khachkova, Galina V. Reshetova, Dmitry M. Vishnevsky
2018 — conf
Parallel Algorithm for One-Way Wave Equation Based Migration for Seismic Imaging.
RuSCDays
Alexander L. Pleshkevich, Dmitry M. Vishnevsky, Vadim V. Lisitsa, Vadim D. Levchenko
2018 J jnl
Parallel GPU-based Implementation of One-Way Wave Equation Migration.
Supercomput. Front. Innov.
Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko, Boris M. Moroz
2013 — conf
A hybrid parallel algorithm for simulating seismic wave propagation in complex 3D models containing intrusions.
SpringSim (HPC)
Viktor I. Kostin, Vadim V. Lisitsa, Galina V. Reshetova, Vladimir A. Tcheverda, Dmitry M. Vishnevsky
1997 B conf
Modelling of Seismic Wave Propagation for 2D Media (Direct and Inverse Problems).
PaCT
V. G. Khajdukov, Vladimir D. Korneev, Victor I. Kostin, V. V. Kovalevsky, Victor E. Malyshkin, Vladimir A. Tcheverda, Dmitry M. Vishnevsky