Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling. - Elena Kornaeva; Alexey Kornaev; Alexander Fetisov; Ivan Stebakov; Bulat Ibragimov (CEC, 2022)

Methods for Improving the Fault Diagnosis Accuracy of Rotating Machines. - Yuri Kazakov; Ivan Stebakov; Alexander Fetisov; Alexey Kornaev; Roman Polyakov (ISDA (4), 2022)

U-Net as a Tool for Adjusting the Velocity Distributions of Rheomagnetic Fluids. - Elena Kornaeva; Alexey Kornaev; Alexander Fetisov; Ivan Stebakov; Leonid Savin (ISDA (4), 2022)

Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics. - Ivan Stebakov; Alexei Kornaev; Elena Kornaeva; Nikita Litvinenko; Yuri Kazakov; Oleg Ivanov; Bulat Ibragimov (IEEE Access, 2024)

Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling. - Ivan Stebakov; Alexei Kornaev; Elena Kornaeva; Sergey Majorov (IEEE Access, 2024)

Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images. - Dmitry Lvov; Ivan Stebakov; Alexei Kornaev; Ilya Pershin; Tamerlan Mustafaev; Danil Afonchikov; Ramil Kuleev; Iskander Bariev; Bulat Ibragimov (IEEE Access, 2025)