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  1. 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

  2. AIMarkerFinder: AI-Assisted Marker Discovery Based on an Integrated Approach of Autoencoders and Kolmogorov–Arnold Networks

    Demenkov, P. S., Ivanisenko, T. V. & Ivanisenko, V. A., 2026, In: Informatics. 13, 1, 13 p., 2.

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

  3. 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

  4. A Hybrid Method for Solving the Two-Dimensional Poisson Equation: Combining U-Net and Conjugate Gradient Method

    Sakharov, D. I., Tsgoev, C. A. & Mullyadzhanov, R. I., 2025, In: Lobachevskii Journal of Mathematics. 46, 8, p. 3777-3790 14 p.

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

  5. 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

  6. 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

  7. 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

  8. 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

  9. A bird's-eye overview of molecular mechanisms regulating feed intake in chickens—with mammalian comparisons

    Volyanskaya, A. R., Akberdin, I. R., Kulyashov, M. A., Yevshin, I. S., Romanov, M. N., Shagimardanova, E. I., Gusev, O. A. & Kolpakov, F. A., Jun 2024, In: Animal Nutrition. 17, p. 61-74 14 p.

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

  10. 14C GIRI SAMPLES in AMS GOLDEN VALLEY: GRAPHITE PREPARATION USING AGE-3 and ABSORPTION-CATALYTIC SETUP

    Parkhomchuk, E. V., Petrozhitskiy, A. V., Ignatov, M. M., Kuleshov, D. V., Lysikov, A. I., Okunev, A. G., Babina, K. A. & Parkhomchuk, V. V., 2 May 2024, In: Radiocarbon. 66, 5, p. 1259-1269 11 p.

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

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