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  1. Nestling phenology of anseriformes in the baikal Siberia region, Russia

    Badmaeva, E. N., Deulin, I. Y., Gulyaeva, M. A., Bazarov, L. D., Dorzhiev, T. Z. & Jamalutdinov, J. M., 1 Jan 2020, In: Юг России: экология, развитие. 15, 1, p. 145-150 6 p.

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

  2. Nestorianism: A historic path through four empires

    Shulga, D. P. & Durova, M. V., 1 Jan 2020, In: Vestnik Novosibirskogo Gosudarstvennogo Universiteta, Seriya: Istoriya, Filologiya. 19, 4, p. 51-58 8 p.

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

  3. Network-based dissolution

    Van Bevern, R., Bredereck, R., Chen, J., Froese, V., Niedermeier, R. & Woeginger, G. J., 1 Jan 2014, Mathematical Foundations of Computer Science 2014 - 39th International Symposium, MFCS 2014, Proceedings. PART 2 ed. Springer, p. 69-80 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8635 LNCS, no. PART 2).

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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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