1. 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

  2. Entity-Aware Sentiment Analysis for Uzbek Social Media Using XLM-RoBERTa NER and LSTM

    Saidov, B. R., Fayzullaeva, Z., Tursunov, U. A., Narmuratov, Z., Egamova, S. D. & Gulbakhar, B. A., 2026, Proceedings - 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2026. Institute of Electrical and Electronics Engineers Inc., 4 p. (Proceedings - 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2026).

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

  3. 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

  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. 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

  6. 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

  7. 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

  8. Estimating well killing fluid volume in the conditions of fractured porous reservoirs based on physical and mathematical modeling and statistical analysis

    Karmushin, S. R., Lezhnev, K. E., Gumerov, R. R., Bazyrov, I. S., Gunkin, A. S. & Gvritishvili, T. T., 2021, In: Neftyanoe khozyaystvo - Oil Industry. 12, p. 30-33 4 p., 6.

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

  9. Estimation of the change in the gas flow rate from the surface of a tungsten plate under pulsed heat load

    Lazareva, G. G., Arakcheev, A. S., Popov, V. A. & Maksimova, A. G., 20 Nov 2019, In: Journal of Physics: Conference Series. 1336, 1, 012011.

    Research output: Contribution to journal › Conference article › peer-review

  10. Estimation of the signal gain in a linear-cavity ytterbium laser

    Efremov, S. A., Shtyrina, O. V., Medvedev, S. B., Yarutkina, I. A., Skidin, A. S. & Fedoruk, M. P., 2017, In: Quantum Electronics. 47, 12, p. 1105-1108 4 p.

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

ID: 3081651