201 - 210 out of 292Page size: 10
  1. 2019

  2. Experimental Observation of Plasma Wakefield Growth Driven by the Seeded Self-Modulation of a Proton Bunch

    (AWAKE Collaboration), 8 Feb 2019, In: Physical Review Letters. 122, 5, 7 p., 054801.

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

  3. Experimental Observation of Proton Bunch Modulation in a Plasma at Varying Plasma Densities

    (AWAKE Collaboration), 8 Feb 2019, In: Physical Review Letters. 122, 5, 6 p., 054802.

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

  4. Fast evaluation of tsunami waves heights around kamchatka and kuril islands

    Lavrentiev, M., Lysakov, K., Marchuk, A., Oblaukhov, K. & Shadrin, M., 1 Feb 2019, In: Science of Tsunami Hazards. 38, 1, p. 1-13 13 p.

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

  5. High-quality positrons from a multi-proton bunch driven hollow plasma wakefield accelerator

    Li, Y., Xia, G., Lotov, K. V., Sosedkin, A. P. & Zhao, Y., 1 Feb 2019, In: Plasma Physics and Controlled Fusion. 61, 2, 7 p., 025012.

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

  6. Laboratory investigations into the velocities and attenuation of ultrasonic waves in sand samples containing water/ice and methane and tetrahydrofuran hydrates

    Duchkov, A. D., Dugarov, G. A., Duchkov, A. A. & Drobchik, A. A., Feb 2019, In: Russian Geology and Geophysics. 60, 2, p. 193-203 11 p.

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

  7. Classification at incomplete training information: Usage of group clustering to improve performance

    Berikov, V., Amirgaliyev, Y., Cherikbayeva, L., Yedilkhan, D. & Tulegenova, B., 1 Jan 2019, In: Journal of Theoretical and Applied Information Technology. 97, 19, p. 5048-5060 13 p.

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

  8. Fast determination of tsunami source parameters

    Lavrentiev, M., Kuzakov, D. & Marchuk, A., 1 Jan 2019, In: Advances in Science, Technology and Engineering Systems. 4, 6, p. 61-66 6 p.

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

  9. Image-based analysis of quantitative morphological characteristics of wild potato tubers using the desktop application SeedСounter

    Ivanova, K. A., Komyshev, E. G., Genaev, M. A., Egorova, A. A., Koloshina, K. A., Chalaya, N. A., Afonnikov, D. A., Kochetov, A. V., Rogozina, E. V. & Gerasimova, S. V., 1 Jan 2019, In: Вавиловский журнал генетики и селекции. 23, 5, p. 519-526 8 p.

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

  10. Named Entity Extraction from Semi-structured Data Using Machine Learning Algorithms

    Mansurova, M., Barakhnin, V., Khibatkhanuly, Y. & Pastushkov, I., 1 Jan 2019, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N. T., Chbeir, R., Exposito, E., Aniorté, P., Trawinski, B. & Nguyen, N. T. (eds.). Springer-Verlag GmbH and Co. KG, p. 58-69 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11684 LNAI).

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

  11. Slant f-k transform of multichannel seismic surface wave data

    Serdyukov, A. S., Yablokov, A. V., Duchkov, A. A., Azarov, A. A. & Baranov, V. D., 1 Jan 2019, In: Geophysics. 84, 1, p. A19-A24 6 p.

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

Previous 1...17 18 19 20 21 22 23 24 ...30 Next

ID: 3083378