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All issues Volume 35 (2020) ITM Web Conf., 35 (2020) 02001 References
Open Access
Issue
ITM Web Conf.
Volume 35, 2020
International Forum “IT-Technologies for Engineering Education: New Trends and Implementing Experience” (ITEE-2019)
Article Number 02001
Number of page(s) 10
Section Digital University
DOI https://doi.org/10.1051/itmconf/20203502001
Published online 09 December 2020
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  13. A. Ostroukh, N. Surkova, O. Varlamov, V. Chernenky, A. Baldin Automated process control system of mobile crushing and screening plant Journal of Applied Engineering Science, 16(3), pp. 343-348 (2018). [CrossRef] [Google Scholar]
  14. V. Chernenkiy, Y. Gapanyuk, V. Terekhov, G. Revunkov, Y. Kaganov, The hybrid intelligent information system approach as the basis for cognitive architecture Procedia Computer Science, 145, pp. 143-152 (2018). [Google Scholar]
  15. V.M. Chernenkiy, Y.E. Gapanyuk, G.I. Revunkov, Y.T. Kaganov, Y.S. Fedorenko, S.V. Minakova, Using metagraph approach for complex domains description, CEUR Workshop Proceedings 2022, pp. 342-349, (2017). [Google Scholar]
  16. V. Chernenkiy, Y. Gapanyuk, G. Revunkov, Y. Kaganov, Y. Fedorenko, Metagraph Approach as a Data Model for Cognitive Architecture Advances in Intelligent Systems and Computing, 848, pp. 50-55, (2019). [Google Scholar]
  17. V.I. Terekhov, I.M. Chernenky, S.V. Buklin, A.R. Yakubov, Cognitive Visualization in Management Decision Support Problems Optical Memory and Neural Networks (Information Optics), 28(1), pp. 27-35 (2019). [Google Scholar]
  18. A.V. Burdakov, A.O. Ukharov, M.P. Myalkin, V.I. Terekhov, Forecasting of influenza-like illness incidence in amur region with neural networks Studies in Computational Intelligence, 799, pp. 307-314 (2019). [Google Scholar]
  19. Y. Gapanyuk, I. Latkin, S. Chernobrovkin, A. Leontiev, G. Ozhegov, A. Opryshko, M. Myalkin, Architecture and implementation of an intelligent news analysis system, CEUR Workshop Proceedings 1975, pp. 41-55 (2017). [Google Scholar]
  20. M. Taran, G. Revunkov, Y. Gapanyuk, The hybrid intelligent information system for poems generation, Studies in Computational Intelligence, 856, pp. 78-86 (2020). [Google Scholar]
  21. Y.E. Gapanyuk, The Semantic Complex Event Processing Based on Metagraph Approach Advances in Intelligent Systems and Computing, 948 pp. 99-104 (2020). [CrossRef] [Google Scholar]
  22. A.V. Burdakov, A.O. Ukharov, M.P. Myalkin, V.I. Terekhov, Forecasting of influenza-like illness incidence in amur region with neural networks, Studies in Computational Intelligence, 799, pp. 307-314 (2019). [Google Scholar]
  23. O.O. Varlamov, D.V. Aladin, Successful application of mivar expert systems for MIPRA – solving action planning problems for robotic systems in real time, Radio industry (Russia), 29(3), pp. 15-25 (2019). DOI: https://doi.org/10.21778/2413-9599-2019-29-3-15-25. [CrossRef] [Google Scholar]
  24. O.O. Varlamov, D.A. Chuvikov, D.V. Aladin, L.E. Adamova, V.G. Osipov, Logical artificial intelligence Mivar technologies for autonomous road vehicles, IOP Conference Series: Materials Science and Engineering, 534(1), 012015 (2019). [CrossRef] [Google Scholar]
  25. D.A. Chuvikov, O.O. Varlamov, D.V. Aladin, V.M. Chernenkiy, A.V. Baldin, Mivar models of reconstruction and expertise of emergency events of road accidents, IOP Conference Series: Materials Science and Engineering, 534(1), 012007 (2019). [CrossRef] [Google Scholar]
  26. O.O. Varlamov, D.A. Chuvikov, L.E. Adamova, M.A. Petrov, I.K. Zabolotskaya, T.N. Zhilina, Logical, Philosophical and Ethical Aspects of AI, Medicine International Journal of Machine Learning and Computing (IJMLC), 9(6), pp. 868-873 (2019). [CrossRef] [Google Scholar]
  27. D.V. Aladin, O.O. Varlamov, D.A. Chuvikov, V.M. Chernenkiy, E.A. Smelkova, A.V. Baldin, Logic-based artificial intelligence in systems for monitoring the enforcing traffic regulations, IOP Conference Series: Materials Science and Engineering, 534(1), 012025 (2019). [CrossRef] [Google Scholar]

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