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ORCIDKirill Gadylshin
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2020 – today
- 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
- [j1]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) - [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]Denis Bratchikov, Kirill Gadylshin:
Seismic Monitoring of Hydrocarbon Deposits Using a Viscoelastic Medium Model Based on Deep Learning. ICCSA (Workshops 3) 2023: 59-75 - [c6]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
- [c5]Kirill Gadylshin, Maxim Protasov:
Full Waveform Inversion of the Scattered Component of the Wavefield: Resolution Analysis. ICCSA (1) 2022: 143-157 - [c4]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
- [c3]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 - [c2]Dmitry Neklyudov, Kirill Gadylshin, Maxim Protasov, L. Klimes:
Fast Three-Dimensional Depth-Velocity Model Building Based on Reflection Traveltime Tomography and Pre-stack Time Migrated Images. ICCSA (2) 2021: 282-295 - [c1]Kirill Gadylshin, Vladimir A. Tcheverda, Danila Tverdokhlebov:
Reconstruction of the Near-Surface Model in Complex Seismogeological Conditions of Eastern Siberia Utilizing Full Waveform Inversion with Varying Topography. ICCSA (1) 2021: 504-518
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