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  1. Automated System for Detecting Atmospheric Gases CO, CO2, and CH4 Based on Optical Parametric Oscillators

    Erushin, E. Y., Kostyukova, N. Y., Boyko, A. A. & Miroshnichenko, I. B., Jun 2024, In: Instruments and Experimental Techniques. 67, 3, p. 505-510 6 p., 9.

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

  2. Association of hemodynamics and morphology with local surface growth of abdominal aortic aneurysm using spatial pattern analysis

    Fedotova, Y., Kalachev, I., Epifanov, R., Totmina, E., Borisova, K., Lysikov, D., Karpenko, A. & Mullyadzhanov, R., 1 Feb 2025, In: Physics of Fluids. 37, 2, 021919.

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

  3. 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

  4. 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

  5. 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

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

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

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

  7. 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

  8. 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

  9. 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

  10. 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

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