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Articles by keyword intelligent transport systems
An approach to assessing the technical condition of elements and nodes of transport systems using neural network modeling methods and digital twin technology

V.V. Belousov1,O.V. Druzhinina2, E.R. Korepanov3,  I.V. Makarenkova4, V.V. Maksimova5

1-5 FRС «Computer Science and Control» of RAS (Moscow, Russia)

The use of neural networks for solving classification problems in diagnosing malfunctions of transport systems

V.V. Belousov1, O.V. Druzhinina2, E.R. Korepanov3, I.V. Makarenkova4, V.V. Maksimova5

1-5 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Design of a data generation model for solving classification problems in the diagnosis of transport system malfunctions

O.V. Druzhinina1, E.R. Korepanov2, A.A. Petrov3, I.V. Makarenkova4, V.V. Maksimova5

1,2,4,5 FRC «Computer Science and Control» of Russian Academy of Sciences (Moscow, Russia)

3 Bunin Yelets State University (Yelets, Russia)

Development of instrumental and methodological support for assessing the technical condition of transport system nodes using neural networks, fuzzy and stochastic modeling algorithms

O.V. Druzhinina1, E.R. Korepanov2, A.A. Petrov3, I.V. Makarenkova4, V.V. Maksimova5

1,2,4,5 Federal Research Center «Computer Science and Control» of Russian Academy of Sciences (Moscow, Russia)

3 Bunin Yelets State University (Yelets, Russia)

1 ovdruzh@ipiran.ru, 2 ekorepanov@ipiran.ru, 3 xeal91@yandex.ru, 4 imakarenkova@ipiran.ru, 5 vmaksimova@mail.ru

Instrumental and methodological support for the assessment and forecasting of knowledge in the pedagogical process

 A.Yu. Cherepkov1, O.V. Druzhinina2

1,2 Bunin Yelets State University (Yelets, Russia)

2 FRС «Computer Science and Control» of Russian Academy of Sciences (Moscow, Russia)

1cherepkov.andrey@mail.ru; 2ovdruzh@mail.ru