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  1. Applying canonical transformations to the nonlinear Schrödinger equation for modeling fiber optic communications

    Дремов, С. В., Качулин, Д. И., Чеховской, И. С., Сидельников, О. С., Редюк, А. А. & Дьяченко, А. И., Feb 2026, In: Physica D: Nonlinear Phenomena. 486, 10 p., 135049.

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

  2. Application of Analysis Methods for Ring Resonator Characteristics to Simulating Soliton Fiber-Optic Communication Lines

    Patrin, G. A., Chekhovskoy, I. S., Sidelnikov, O. S., Shtyrina, O. V. & Fedoruk, M. P., 15 Feb 2025, In: Bulletin of the Lebedev Physics Institute. 51, Suppl 10, p. S834-S847 14 p.

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

  3. An Explanation Method for Semantic Segmentation Enhance Brain Tumor Classification

    Kenzhin, R., Luu, M. S. K., Pavlovskiy, E. & Tuchinov, B., 2025, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, p. 319-330 12 p. 23. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15406 LNCS).

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

  4. An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models

    Ivanisenko, T. V., Demenkov, P. S. & Ivanisenko, V. A., 3 Nov 2024, In: International Journal of Molecular Sciences. 25, 21, 11811.

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

  5. A Learning Path to Functional Programming (and What Students can see on the Path)

    Gorodnyaya, L., Kondratyev, D. & Shilov, N., 2025, Agents and Multi-agent Systems: Technologies and Applications 2024. Howlett, R. J. & Jain, L. C. (eds.). Springer, Vol. 406. p. 293-302 10 p. 25. (Smart Innovation, Systems and Technologies; vol. 406).

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

  6. AI-Assisted Identification of Primary and Secondary Metabolomic Markers for Postoperative Delirium

    Ivanisenko, V. A., Rogachev, A. D., Makarova, A-L. A., Basov, N. V., Gaisler, E. V., Kuzmicheva, I. N., Demenkov, P. S., Venzel, A. S., Ivanisenko, T. V., Antropova, E. A., Kolchanov, N. A., Plesko, V. V., Moroz, G. B., Lomivorotov, V. V. & Pokrovsky, A. G., Nov 2024, In: International Journal of Molecular Sciences. 25, 21, 11847.

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

  7. Advancing graph neural network architecture for fluid flow and heat transfer surrogate modeling: Variable boundary conditions and geometry

    Travnikov, V., Plokhikh, I. & Mullyadzhanov, R., 1 Dec 2024, In: Physics of Fluids. 36, 12, 127117.

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

  8. Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case

    Epifanov, R. U., Nikitin, N. A., Rabtsun, A. A., Kurdyukov, L. N., Karpenko, A. A. & Mullyadzhanov, R. I., May 2024, In: Computer Optics. 48, 3, p. 418-424 7 p.

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

  9. Active control study in a flow in a model combustion chamber with LES

    Palkin, E., Kundashkin, A., Hrebtov, M. & Mullyadzhanov, R., 14 Oct 2024, In: E3S Web of Conferences. 578, 7 p., 01027.

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

  10. A Cellular-Authomata Model of Sinusoidal Plane Electromagnetic Waves

    Burnyshev, E. & Medvedev, Y., 2026, Parallel Computing Technologies. Malyshkin, V. (ed.). Springer, p. 203-216 14 p. 14. (Lecture Notes in Computer Science; vol. 16185).

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

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