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Development of an adaptive traffic light control system using markov decision processes
Tislenko T.I., Semenova D.V.
Mathematical modeling of hybrid energy systems using queueing theory
Fedorova E.A., Tyulenina Y.A., Meloshnikova N.P.
Determining the architecture of a neural network in the problem of estimating the state of the battery charge
Yakovlev I.A., Elizarova A.V., Saitova G.A.
Analysis of motion separation by control for two identical pendulums
Suliman B., Fradkov A.L.
Modeling of plane-parallel motion of a vessel based on a nonlinear dynamic system with varying parameters using the perturbation method and its experimental verification
Soliakov O.V., Uvarova L.A.
Modeling of a sea container terminal using a queuing network
Lempert A.A., Zharkov M.L., Kazakov A.L., Vu G.Z.
System dynamic model of industry: growth factors and analysis of optimal strategies
Tsvetkov V.V.
Modeling the impact of export restrictions on domestic market prices
Akinfiev V.K.
On the modeling the behaviour of one markov process using the method of modeling random variables using intensities
Zverkina G.A., Koshelev A.A.
Learning in osipov – lanchester models
Novikov D.A.
Data assimilation in neutronics modelling: current status and development prospects
Andrianov A.A., Andrianova O.N.
National security: scenario analysis of global environmental processes impact
Chernov I.V.
Developing the air transportation system quality assessment tools to define the main requirements for future aircraft
Vlasenko A.O., Sukharev A.A., Uryupin I.V.
Machine monitoring of text chats and detection of anomalies
Mozaidze E.S., Zuev S.V.
Scenario technologies in group regional management
Komanich N.V., Chernov I.V.
The utilization of virtual structures in the formation of scenario-cognitive models based on the utilization of expert knowledge
Schultz V.L., Chernov I.V.
Scenario technologies in managing the development of the russian federation arctic zone oil and gas complex
Komanich N.V., Chernov I.V., Shelkov A.B.
System data analysis and modeling of electricity consumption behavior for every hour of the day using machine learning methods
Dzgoev A.E., Lagunova A.D., Karatsev S.T., Konushok I.A., Komarov I.A., Huzmiev I.M., Gladushev O.Y.
On a new approach to estimating response time quantiles of a fork-join queueing system
Gorbunova A.V., Lebedev A.V.
Models of resource allocation in a hierarchically controlled tree-like dynamic system with consideration of opportunistic behavior of the agents
Gorbaneva O.I., Mikhalkovich S.S., Ougolnitsky G.A.
Modelling excess mortality during the pandemic period among federal districts of the Russian Federation
Makhankova I.V., Druzhinin P.V.
Modeling of neurons and their interactions. overview of approaches and methods
Zhilyakova L.Y., Kuznetsov O.P.
Reduction of hierarchical models: researching sensitivity by factors using analysis of finite fluctuations
Sysoev A.S., Pogodaev A.K., Saraev P.V.
Analysis of the methodology of scenario planning and national security management
Chernov I.V.
Management of innovation implementation using various information structures
Ninidze D.L., Ougolnitsky G.A., Usov A.B.
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