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  1. 2026

  2. 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

  3. Machine Learning-Based Preconditioner to Solve Poisson Equation

    Chekmeneva, E., Khachova, T. & Lisitsa, V., 2026, Lecture Notes in Computer Science. Springer, p. 376-387 12 p. 25. (Lecture Notes in Computer Science; vol. 15888 LNCS).

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

  4. Parallel Implementation of HTC Model for Wave Propagation in Multiphase Poroelastic Media

    Reshetova, G., Shiyapov, K., Zakharov, V. & Cheverda, V., 2026, Parallel Computing Technologies. Malyshkin, V. (ed.). Springer, p. 247-259 13 p. 17. (Lecture Notes in Computer Science; vol. 16185).

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

  5. Signal Processing by a Reservoir Network on Memristors

    Tarkov, M. S. & Jing, M., 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. 3-12 10 p. 1. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  6. Technological Means for Automatic Programs Construction in LuNA System

    Malyshkin, V., Perepelkin, V., Parfenov, D., Sinyukov, V., Spirin, V., Ivanchenko, D. & Nushtaev, Y., 2026, Parallel Computing Technologies. Malyshkin, V. (ed.). Springer, p. 105-123 19 p. 8. (Lecture Notes in Computer Science; vol. 16185).

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

  7. Thermally activated adsorption–desorption processes on CVD graphene

    Sorokin, D. V., Andryushchenko, V. A., Artishevsky, K. V., Smovzh, D. V., Gareev, T. I., Zaitsev, O. V., Nerushev, O. A., Boyko, E. V., Bogomolova, A. I. & Ryabov, V. O., 2026, In: Letters on Materials. 16, 3, p. 211-218 8 p.

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

  8. Total restrained coalitions in graphs

    Chellali, M., Golmohammadi, H., Matrokhin, N. A., Takhonov, I. I. & Valenzuela-Tripodoro, J. C., 2026, In: Computational and Applied Mathematics. 45, 2, 14 p., 50.

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

  9. Unsupervised Learning for Detection of Cognitive Distortions in Patient Narratives

    Bobo, S. & Kolonin, A., 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. 545-562 18 p. 43. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  10. Интегро-дифференциальные уравнения высокого порядка с вырождением

    Баротов, Б. Х. & Кожанов, А. И., 2026, p. 69-70. 2 p.

    Research output: Contribution to conference › Abstract › peer-review

  11. Предобуславливатель на основе машинного обучения для решения уравнения Пуассона

    Chekmeneva, E. A., Khachkova, T. S. & Lisitsa, V. V., 2026, In: Журнал Средневолжского математического общества. 28, 2, p. 83-98 16 p.

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

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