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  1. A comprehensive dataset and neural network approach for named entity recognition in the Uzbek language

    Mengliev, D., Barakhnin, V., Eshkulov, M., Ibragimov, B. & Madirimov, S., Feb 2025, In: Data in Brief. 58, 111249.

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

  2. 4-nJ Erbium all-fiber hybrid highly chirped dissipative soliton oscillator

    Zhdanov, I. S., Kharenko, D. S., Bednyakova, A. E., Fedoruk, M. P., Turitsyn, S. K. & Babin, S. A., 1 Jan 2019, The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. OSA Publishing, 2019-cf_p_26. (Optics InfoBase Conference Papers; vol. Part F140-CLEO_Europe 2019).

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

  3. 4-nJ erbium all-fiber hybrid highly chirped dissipative soliton oscillator

    Zhdanov, I. S., Kharenko, D. S., Bednyakova, A. E., Fedoruk, M. P., Turitsyn, S. K. & Babin, S. A., 1 Jun 2019, 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. Institute of Electrical and Electronics Engineers Inc., 8873124. (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019).

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

  4. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

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ID: 3085941