Open Access
SHS Web Conf.
Volume 137, 2022
XI International Conference on Aerospace Education and Staffing for High-Tech Enterprises (AESHE 2021)
Article Number 01018
Number of page(s) 7
Section Aerospace Education and Staffing for High-Tech Enterprises
Published online 18 April 2022
  1. R.R. Anamova, L.V. Bykov, D.A. Kozorez, Aircraft industry staff retraining as a part of vocational education in the Russian Federation, TEM J., 8(3), 978 (2019) [Google Scholar]
  2. A. Svirina, A. Lopatin, J. Titko, Analysis of students performance in relation to the results of State Unified Exam: The case of Russian university, Business, Management and Economics Engineering, 19(1), 170 (2021) [Google Scholar]
  3. A.V. Kornilin, M.F. Safargaliev, Economic Evaluation of Measures to Improve the Efficiency of Knowledge-Intensive Production in a Networked Economy, in Proceedings of the 1st All-Russian Scientific-Practical Conference of Young Aviators of Russia “Aviation of the Future: Trends, Challenges and Opportunities”, 29-30 November 2019, Kazan, Russia, 411 (2019) [Google Scholar]
  4. M.F. Safargaliev, Y.A. Kitsay, E.N. Egorova, L.V. Ermolina, Modernization of modern entrepreneurship on the basis of artificial intelligence, Lecture Notes in Networks and Systems, 91, 346 (2020) [CrossRef] [Google Scholar]
  5. T.M. Tregubova, V.E. Kozlov, A.S. Kats, Discource on students participation in international projects on inter-ethnic tolerance formation in multicultural environment, Journal of Siberian Federal University. Humanities & Social Sciences, 12(2), 261 (2019) [Google Scholar]
  6. M. Mironova, L. Nugumanova, A. Bushueva, S. Markova, Z. Zapparova, Integrated indicator of quality of services of higher education institutions, in 19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June — 6 July, 2019, Bulgaria, 19, 191 (2019), DOI: 10.5593/sgem2019/5.4/S22.026 [Google Scholar]

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