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All issues Volume 411 (2023) E3S Web Conf., 411 (2023) 01020 References
Open Access
Issue
E3S Web Conf.
Volume 411, 2023
VI International Conference on Actual Problems of the Energy Complex and Environmental Protection (APEC-VI-2023)
Article Number 01020
Number of page(s) 8
Section Issues of the Energy Complex
DOI https://doi.org/10.1051/e3sconf/202341101020
Published online 10 August 2023
  1. E.M. Tarasov, “Invariant measurements of informative features of train coordinates” in Perspective Information Technologies. Articles of International Research-to-Practice conference, Publishing house of the Samara Scientific Center of the Russian Academy of Sciences, Samara, 509-413 (2019) [Google Scholar]
  2. A.E. Tarasova, “Investigation of the potential of rail line state classifiers,” in Science and Education for Transport, 1, 223-226 (2018) [Google Scholar]
  3. E.V. Myasnikov, “Analysis of approaches to feature space partitioning for nonlinear dimensionality reduction,” in Pattern Recognition and Image Analysis, 26, 3, 474-482 (2016) [CrossRef] [Google Scholar]
  4. D.V. Zheleznov, “Development of a trainable classifier of rail line states with multidimensional informative features,” in Works of Saint Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences, 32-54 (2017) [Google Scholar]
  5. T. Rakcheeva, “Focal Model in the Pattern Recognition Problem” in Advances in Artificial Systems for Medicine and Education II. Conference Proceedings AIMEE2018, Springer, NY, 127-138 (2018) [Google Scholar]
  6. G. Dougherty, Pattern Recognition and Classification (Springer, NY, 2013) [Google Scholar]
  7. D.V. Borisenko, I.V. Prisukhina, S.A. Lunev, “Machine classification of the operating mode of an electric track circuit based on logistic regression,” in Omsk Scientific Bulletin, 4, 67-72 (2018) [CrossRef] [Google Scholar]
  8. S. Karamizadeh, S.M. Abdullah, M. Zamani, A. Kherikhah, “Pattern Recognition Techniques: Studies on Appropriate Classifications,” in Lecture Notes in Electrical Engineering, 9, 1214-1219 (2013) [Google Scholar]
  9. V.L. Gerus, A.E. Tarasova, “Study of Informative Value of Features in Rail Condition Monitoring,” in Mordovia University Bulletin, 28, 191-206 (2018) [CrossRef] [Google Scholar]
  10. M. Ailem, F. Role, M. Nadif, “Model-based co-clustering for the effective handling of sparse data,” in Pattern Recognition, 72, 108-122 (2017) [CrossRef] [Google Scholar]
  11. K. Kulkarni, P. Turaga, A. Srivastava, R. Chellappa, Pattern Recognition (Wiley, New York, 2019) [Google Scholar]
  12. N.L. Kazanskiy, S.B. Popov, “Integrated design technology for computer vision systems in railway transportation,” in Pattern Recognition and Image Analysis, 25, 2, 215-219 (2015) [CrossRef] [Google Scholar]
  13. V.N. Klyachkin, Yu.E. Kuvayskova, D.A. Zhukov, “The use of aggregate classifiers in technical diagnostics, based on machine learning,” in Information Technology and Nanotechnology, 1903, 32-35 (2017) [Google Scholar]
  14. D.V. Zheleznov, E.M. Tarasov, “Development of an intelligent system of determinating the coordinates and the speed of the train,” in Transport and Telecommunication, 17, 6, 138-143 (2016) [CrossRef] [Google Scholar]
  15. V.N. Vapnik, “An Overview of Statistical Learning Theory,” in IEEE Trans. Neural Networks, 10, 5, 988-999 (1999) [CrossRef] [Google Scholar]
  16. F. Delfani, H. Samanipour, H. Beiki, A.V. Yumashev, E.M. Akhmetshin, A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time, Int J Syst Sci Oper Logist, 9, 2, 155-179 (2022) [Google Scholar]
  17. M.A. Chirkov, T.A. Lachinina, M.S. Chistyakov, Knowledge and information as a synergy of the platform approach to digitalization of global development, Free thought, 37-44 (2020) [Google Scholar]
  18. E.A. Lavrov, A.L. Zolkin, T.G. Aygumov, M.S. Chistyakov, I.V. Akhmetov, Analysis of information security issues in corporate computer networks, IOP Conference Series: Materials Science and Engineering. Krasnoyarsk Science and Technology City Hall, Krasnoyarsk, 12117 (2021) [Google Scholar]
  19. V. Zhukovskyy, S. Shatnyi, N. Zhukovska, A. Sverstiuk, “Neural Network Clustering Technology for Cartographic Images Recognition” in IEEE EUROCON 2021-19th International Conference on Smart Technologies, Lviv, Jul. 2021, 125-128 (2021) [CrossRef] [Google Scholar]
  20. E.A. Lavrov, P.I. Paderno, A.A. Volosiuk, N.B. Pasko, V.I. Kyzenko, Automation of Functional Reliability Evaluation for Critical Human-Machine Control Systems. In Proceedings of 2019 3rd International Conference on Control in Technical Systems, CTS 2019, Institute of Electrical and Electronics Engineers Inc. 144-147 (2019) [Google Scholar]

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