Kirill Gadylshin

According to our database, Kirill Gadylshin authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

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

Seismic Monitoring of Hydrocarbon Deposits Using a Viscoelastic Medium Model Based on Deep Learning.

Denis Bratchikov, Kirill Gadylshin

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

2022

Full Waveform Inversion of the Scattered Component of the Wavefield: Resolution Analysis.

Kirill Gadylshin, Maxim Protasov

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

Fast Three-Dimensional Depth-Velocity Model Building Based on Reflection Traveltime Tomography and Pre-stack Time Migrated Images.

Dmitry Neklyudov, Kirill Gadylshin, Maxim Protasov, L. Klimes

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

Reconstruction of the Near-Surface Model in Complex Seismogeological Conditions of Eastern Siberia Utilizing Full Waveform Inversion with Varying Topography.

Kirill Gadylshin, Vladimir A. Tcheverda, Danila Tverdokhlebov

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