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  1. Network-based vertex dissolution

    Van Bevern, R., Bredereck, R., Chen, J., Froese, V., Niedermeier, R. & Woeginger, G. J., 1 Jan 2015, In: SIAM Journal on Discrete Mathematics. 29, 2, p. 888-914 27 p.

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

  2. Network Coordination Polymers Based on Thieno[3,2-b]Thiophene-2,5-Dicarboxylic Acid

    Samsonova, A. M., Bolotov, V. A., Samsonenko, D. G., Dybtsev, D. N. & Fedin, V. P., 1 Sept 2019, In: Journal of Structural Chemistry. 60, 9, p. 1468-1473 6 p.

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

  3. Network Interface Module Development on Heterogeneous Computing System

    Botvinko, V. V. & Khazankin, G. R., 2022, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers Inc., p. 124-126 3 p.

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

  4. Network research projects: organization of educational programs in life sciences for schoolchildren and teachers

    Мартюшова, В. Г., Галямова, М. Р., Каххарова, З. И., Воронина, Е. Н. & Седых, С. Е., 26 Jun 2024, In: FEBS Open Bio. 14, S2, p. 513-513 1 p., P-E-01-08.

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

  5. Neural Eikonal solver: Improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics

    Grubas, S., Duchkov, A. & Loginov, G., 1 Feb 2023, In: Journal of Computational Physics. 474, 111789.

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

  6. Neural nerwork approach for plug flow analysis in microchannels

    Seredkin, A. V. & Yagodnitsyna, A. A., 2022, In: Interfacial Phenomena and Heat Transfer. 10, 1, p. 15-24 10 p.

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

  7. Neural network for calculating direct and inverse nonlinear Fourier transform

    Sedov, E. V., Чеховской, И. С. & Prilepsky, J. E., Dec 2021, In: Quantum Electronics. 51, 12, p. 1118-1121 4 p.

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

  8. Neural networks for classification problem on tabular data

    Nazdryukhin, A. S., Fedrak, A. M. & Radeev, N. A., 14 Dec 2021, In: Journal of Physics: Conference Series. 2142, 1, 012013.

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

  9. Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation

    Sedov, E. V., Freire, P. J., Seredin, V. V., Kolbasin, V. A., Kamalian-Kopae, M., Chekhovskoy, I. S., Turitsyn, S. K. & Prilepsky, J. E., Dec 2021, In: Scientific Reports. 11, 1, 22857.

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

  10. Neural Networks for Food Export Gain Forecasting

    Devyatkin, D., Suvorov, R., Tikhomirov, I. & Otmakhova, Y., 2 Jul 2018, 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. Martins, J., Jotsov, V., Bierwolf, R., Mendonca, J. P., Jardim-Goncalves, R. & Marques, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 312-317 6 p. 8710561. (9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings).

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

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