Dmitry M. Vishnevsky

According to our database, Dmitry M. Vishnevsky authored at least 15 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Reducing Numerical Dispersion in Pseudo-3D Space and Constructing Training Dataset.

Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

NDM-Net and Model Changes.

Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

Effective Numerical Dispersion Suppression in 3D Seismic Modeling.

Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

2023

Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network.

Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Kseniia Gadylshina

Comput. Geosci., November, 2023

Numerical Dispersion Mitigation Neural Network with the Model-Based Training Dataset Optimization.

Elena Gondyul, Vadim V. Lisitsa, Kirill Gadylshin, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

Adaptive Data-Based Optimization of the Training Dataset for the NDM-net.

Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

Frequency Domain Numerical Dispersion Mitigation Network.

Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

Optimization of the Training Dataset for Numerical Dispersion Mitigation Neural Network.

Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2021

A multi-level parallel algorithm for seismic imaging based on one-way wave equation migration.

Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko

Comput. Math. Appl., 2021

Numerical Algorithm of Seismic Wave Propagation and Seismic Attenuation Estimation in Anisotropic Fractured Porous Fluid-Saturated Media.

Mikhail Novikov, Vadim V. Lisitsa, Tatyana Khachkova, Galina V. Reshetova, Dmitry M. Vishnevsky

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Machine Learning-Based Numerical Dispersion Mitigation in Seismic Modelling.

Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky, Mikhail Novikov

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2018

Parallel GPU-based Implementation of One-Way Wave Equation Migration.

Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko, Boris M. Moroz

Supercomput. Front. Innov., 2018

Parallel Algorithm for One-Way Wave Equation Based Migration for Seismic Imaging.

Alexander L. Pleshkevich, Dmitry M. Vishnevsky, Vadim V. Lisitsa, Vadim D. Levchenko

Proceedings of the Supercomputing, 2018

2013

A hybrid parallel algorithm for simulating seismic wave propagation in complex 3D models containing intrusions.

Viktor I. Kostin, Vadim V. Lisitsa, Galina V. Reshetova, Vladimir A. Tcheverda, Dmitry M. Vishnevsky

Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013

1997

Modelling of Seismic Wave Propagation for 2D Media (Direct and Inverse Problems).

V. G. Khajdukov, Vladimir D. Korneev, Victor I. Kostin, V. V. Kovalevsky, Victor E. Malyshkin, Vladimir A. Tcheverda, Dmitry M. Vishnevsky

Proceedings of the Parallel Computing Technologies, 1997