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  1. Estimates of Implementation Complexity for Quantum Cryptanalysis of Post-Quantum Lattice-Based Cryptosystems

    Bakharev, A. O., Sept 2023, In: Journal of Applied and Industrial Mathematics. 17, 3, p. 459-482 24 p., 1.

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

  2. Erratum to: Structure and Shape of Hematite Particles Obtained by Oxidative Thermolysis of Iron Oxalate Dihydrate: Anisotropic Broadening of X-Ray Diffraction Peaks (Journal of Structural Chemistry, (2024), 65, 4, (655-665), 10.1134/S0022476624040024)

    Cherepanova, S. V., Sinitsa, N. A., Yatsenko, D. A., Gerasimov, E. Y., Sidel’nikov, A. A. & Matvienko, A. A., Aug 2024, In: Journal of Structural Chemistry. 65, 8, p. 1677 1 p.

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

  3. Erratum to: Multi-Class Surface Generation of Complex Anatomical Structures Using Neural Networks

    Epifanov, R. U. I., Федотова, Я. В., Popov, D. R. & Мулляджанов, Р. И., Dec 2025, In: Doklady Mathematics. 112, 3, p. 636 1 p.

    Research output: Contribution to journal › Comment/debate › peer-review

  4. ERANNs: Efficient residual audio neural networks for audio pattern recognition

    Verbitskiy, S., Berikov, V. & Vyshegorodtsev, V., Sept 2022, In: Pattern Recognition Letters. 161, p. 38-44 7 p.

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

  5. Environment-Agnostic IRM via Unsupervised Clustering and Adaptive Penalty Scaling

    Miron, B. & Bondarenko, I., 2026, Advances in Neural Computation, Machine Learning, and Cognitive Research IX. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. & Klimov, V. V. (eds.). Springer, p. 47-63 17 p. 5. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  6. Enhancing the stability of physics-informed neural networks applied to convection problems

    Tsgoev, C. A., Bratenkov, M. A., Sakharov, D. I., Travnikov, V. A., Seredkin, A. V., Kalinin, V. A., Fomichev, D. V. & Mullyadzhanov, R. I., Mar 2025, In: Thermophysics and Aeromechanics. 32, 2, p. 449-463 15 p.

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

  7. Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering

    Kalmutskiy, K. & Berikov, V., 6 Apr 2025, In: Pattern Recognition and Image Analysis. 35, 1, p. 16-18 3 p.

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

  8. Enhancement of Rans Models by Means of the Tensor Basis Random Forest for Turbulent Flows in Two-Dimensional Channels with Bumps

    Bernard, A. & Yakovenko, S. N., Jun 2023, In: Journal of Applied Mechanics and Technical Physics. 64, 3, p. 437-441 5 p.

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

  9. Enhancement of Consistent Depth Estimation for Monocular Videos Approach

    Свейлам, М. Н. Х. & Толстокулаков, Н. Ю., 26 Jun 2021, Computer Science & Information Technology (CS & IT). p. 110-115 11 p.

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

  10. Engineering and technical basics of A. D. Kryachkov's "sustainable architecture"

    Dukhanov, S. & Kinsht, A., 10 Jan 2017, Youth, Science, Solutions: Ideas and Prospects, YSSIP 2016: Proceedings of the III International Young Researchers Conference "Youth, Science, Solutions: Ideas and Prospects". Kopanitsa, NO. (ed.). American Institute of Physics Inc., Vol. 1800. 7 p. 050005. (AIP Conference Proceedings; vol. 1800).

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

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