EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 458 (2023) E3S Web of Conf., 458 (2023) 03010 References
Open Access
Issue
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
Article Number 03010
Number of page(s) 11
Section Low Carbon Mobility and Logistics
DOI https://doi.org/10.1051/e3sconf/202345803010
Published online 07 December 2023
  1. V.I. Shvetsov, Automation and telemechanics 11, 3–46 (2003) [Google Scholar]
  2. J.D. Ortuzar, L.G. Willumsen, Modeling Transport. 4th edition (USA: John Wiley & Sons Ltd, 2011) [CrossRef] [Google Scholar]
  3. A.V. Gasnikov, E.A. Nurminsky, N.B. Shamray, et.al., Introduction to mathematical modeling of traffic flows: textbook allowance (M.: MIPT, 2010) [Google Scholar]
  4. S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, 2nd ed. (M.: Williams, 2006) [Google Scholar]
  5. W.F. Abd El-Wahed, Fuzzy Sets and Systems 117, 27-33 (2001) [CrossRef] [Google Scholar]
  6. W.F. Abd El-Wahed, S.M. Lee, Omega 34, 158-166 (2006) [CrossRef] [Google Scholar]
  7. E.E. Ammar, E.A. Youness, Study on multiobjectivetransportationproblem with fuzzy numbers, Appl. Math. Comput. 166, 241–253 (2005) [MathSciNet] [Google Scholar]
  8. V.N. Livshits, Automation of planning and management transport systems (M .: Transport, 1987) [Google Scholar]
  9. N.S. Mamatov, N.A. Niyozmatova, A.N. Samijonov, S.Juraev, & B.M. Abdullayeva. (2020). The choice of informative features based on heterogeneous functionals. IOP Conference Series: Materials Science and Engineering, 919. [Google Scholar]
  10. N. Niyozmatova, N. Mamatov, A. Samijonov, E. Rahmonov, & Sh. Juraev. (2020). Method for selecting informative and non-informative features. IOP Conference Series: Materials Science and Engineering. 919. 042013. 10.1088/1757-899X/919/4/042013. [CrossRef] [Google Scholar]
  11. N. Niyozmatova, N. Mamatov, A. Samijonov, N. Mamadalieva & B. Abdullayeva. (2020). Unconditional discrete optimization of linear-fractional function “-1”-order. IOP Conference Series: Materials Science and Engineering. 862. 042028. 10.1088/1757-899X/862/4/042028. [CrossRef] [Google Scholar]
  12. N. Mamatov, A. Samijonov, & N. Niyozmatova. (2020). Determination of non-informative features based on the analysis of their relationships. Journal of Physics: Conference Series. 1441. 012149. 10.1088/1742-6596/1441/1/012149. [CrossRef] [Google Scholar]
  13. Sh. Fazilov, N. Mamatov, A. Samijonov, & Sh. Abdullaev. (2020). Reducing the dimensionality of feature space in pattern recognition tasks. Journal of Physics: Conference Series. 1441. 012139. 10.1088/1742-6596/1441/1/012139. [CrossRef] [Google Scholar]
  14. N.S. Mamatov, A.N.Samijonov, Y. Yuldoshev, R. Khusan. (2020). Selection the Informative Features on the Basis of Interrelationship of Features. In: Pawar, P., Ronge, B., Balasubramaniam, R., Vibhute, A., Apte, S. (eds) Techno-Societal 2018 . Springer, Cham. https://doi.org/10.1007/978-3-030-16962-6_13 [Google Scholar]
  15. N. Mamatov, A. Samijonov, & Z. Yuldashev. (2019). Selection of features based on relationships. Journal of Physics: Conference Series. 1260. 102008. 10.1088/1742-6596/1260/10/102008. [CrossRef] [Google Scholar]
  16. Sh. Fazilov, N.Mamatov, N. Niyozmatova. Developing methods and algorithms for forming of informative features’ space on the base K-types uniform criteria. International Journal of Recent Technology and Engineering, Volume 8, Issue 2 Special Issue 11, September 2019, Pages 3784-3786 [Google Scholar]
  17. Sh. Fazilov, N. Mamatov, A. Samijonov. Selection of significant features of objects in the classification data processing. International Journal of Recent Technology and Engineering, Volume 8, Issue 2 Special Issue 11, September 2019, Pages 3790-3794. [Google Scholar]
  18. N. Mamatov, A. Samijonov, Z. Yuldashev and N. Niyozmatova, “Discrete Optimization of Linear Fractional Functionals,” 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS), Novosibirsk, Russia, 2019, pp. 96-99, doi: 10.1109/OPCS.2019.8880208. [Google Scholar]
  19. Sh. Fazilov, & N.S. Mamatov. (2019). Formation an informative description of recognizable objects. Journal of Physics: Conference Series, 1210. [Google Scholar]
  20. N. Mamatov, A. Samijonov, N. Niyozmatova, B. Samijonov, K. Erejepov and O. Jamalov, “Algorithm for Selecting Optimal Features in Face Recognition Systems,” 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS), Novosibirsk, Moscow, Russian Federat ion, 2023, pp. 59-64, doi: 10.1109/OPCS59592.2023.10275750. [Google Scholar]
  21. M.R. Yakimov, Transport planning: creation of transport city models: monograph (M.: Logos, 2013) [Google Scholar]
  22. M.R. Yakimov, Yu.A. Popov, Transport planning: practical recommendations for creating transport models of cities in software complex PTV Vision® VISUM: monograph (M.: Logos, 2014) [Google Scholar]
  23. M.R. Yakimov, Bulletin of the Irkutsk State Technical University 1(48), 132–138 (2011) [Google Scholar]
  24. A.A. Burlutskiy, Vestnik TSASU 2, 371-380 (2013) [Google Scholar]
  25. Yu.V. Trofimenko, M.R. Yakimov, Transport planning: the formation of efficient transport systems in large cities: monograph (M.: Logos, 2013) [Google Scholar]
  26. Yu.A. Martynova, Internet journal “Science Science” 2(21), 1-10 (2014) [Google Scholar]
  27. V.V. Bukhvalova, A.S. Rogulskaya, Review of Applied and Industrial Mathematics 15, 2, 270-273 (2008) [Google Scholar]
  28. V.А. Fedorov, Young Scientist 2(82), 331–333 (2015) [Google Scholar]
  29. O.A. Lebedeva, Bulletin of ANSTU 12, 185–188 (2018) [Google Scholar]
  30. D.K. Muxamediyeva, IOP Conf. Journal of Physics: Conf. Series 1210 (2019) [Google Scholar]
  31. Z.Sh. Juraev, D.T. Muhamediyeva, D.M. Sotvoldiev, IOP Conf. Journal of Physics: Conf. Series 1546(1), 012083 (2020) [CrossRef] [Google Scholar]
  32. D.T. Mukhamedieva, Journal of Physics: Conference Series 1546(1), 012091 (2020) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.