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  1. Deep Reinforcement Learning Control of Cylinder Flow Using Rotary Oscillations at Low Reynolds Number

    Tokarev, M., Palkin, E. & Mullyadzhanov, R., 2 Nov 2020, In: Energies. 13, 22, 11 p., 5920.

    Research output: Contribution to journal › Article › peer-review

  2. Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation

    Xie, L., Yang, L., Zeng, Q., He, J., Huang, J., Feng, Y., Amelina, E. & Amelin, M., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers Inc., p. 7946-7950 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Deep learning segmentation to analyze bubble dynamics and heat transfer during boiling at various pressures

    Malakhov, I., Seredkin, A., Chernyavskiy, A., Serdyukov, V., Mullyadzanov, R. & Surtaev, A., May 2023, In: International Journal of Multiphase Flow. 162, 104402.

    Research output: Contribution to journal › Article › peer-review

  4. Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

    Li, H., Yakovenko, S., Ivashchenko, V., Lukyanov, A., Mullyadzhanov, R. & Tokarev, M., 2024, In: Physics of Fluids. 36, 2

    Research output: Contribution to journal › Article › peer-review

  5. Data-Driven Prediction of Unsteady Vortex Phenomena in a Conical Diffuser

    Skripkin, S., Suslov, D., Plokhikh, I., Tsoy, M., Gorelikov, E. & Litvinov, I., 2023, In: Energies. 16, 5, 2108.

    Research output: Contribution to journal › Article › peer-review

  6. Cross-Domain Robustness of Transformer-Based Keyphrase Generation

    Glazkova, A. & Morozov, D., 2024, Communications in Computer and Information Science. Springer, p. 249-265 17 p. 19. (Communications in Computer and Information Science; vol. 2086 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Control of the turbulent wake flow behind a circular cylinder by asymmetric sectoral hydrophobic coatings

    Lebedev, A., Dobroselsky, K., Safonov, A., Starinskiy, S., Sulyaeva, V., Lobasov, A., Dulin, V. & Markides, C. N., 1 Dec 2021, In: Physics of Fluids. 33, 12, 121703.

    Research output: Contribution to journal › Article › peer-review

  8. Contrastive fine-tuning to improve generalization in deep NER

    Bondarenko, I., 15 Jun 2022, In: Komp'juternaja Lingvistika i Intellektual'nye Tehnologii. 21, p. 70-80 11 p., 8.

    Research output: Contribution to journal › Article › peer-review

  9. Constructing a Minimal Basis of Invariants for Differential Algebra of (Formula presented.) Matrices

    Vasyutkin, S. A. & Chupakhin, A. P., May 2022, In: Journal of Applied and Industrial Mathematics. 16, 2, p. 356-364 9 p.

    Research output: Contribution to journal › Article › peer-review

  10. Computational analysis of the impact of aortic bifurcation geometry to AAA haemodynamics

    Tikhvinskii, D. V., Merzhoeva, L. R., Chupakhin, A. P., Karpenko, A. A. & Parshin, D. V., 1 Nov 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 5, p. 311-329 19 p.

    Research output: Contribution to journal › Article › peer-review

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