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Радыгин, Виктор Юрьевич

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Радыгин
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Виктор Юрьевич
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Теперь показываю 1 - 9 из 9
  • Публикация
    Только метаданные
    Increasing Student Motivation by Using Dynamic Rating: Approach and Implementation as Part of the LMS Based on Open-Source Software
    (2021) Ivanov, M.; Radygin, V.; Радыгин, Виктор Юрьевич
    © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.The issue of choosing a modern learning management system for working with part-time students has been investigated in detail. The possibilities of integrating the most popular modern learning management systems with the digital environment of the university are disclosed. The disadvantages of using ready-made solutions are shown. The influence of the choice of a student performance monitoring system and its integration into the modern learning management system on the motivation of a virtual group of students is studied. The disadvantages of the credit rating system are shown. An approach based on a dynamic rating is proposed. The methodology and calculation formulas for calculating the student rank are given. The modern technologies of building web services and mobile applications are investigated. The choice of technological tools for building a modern learning management system at NRNU “MEPhI” is justified. The idea of a three-level modern learning management system is revealed. Examples of ready-made system elements and a description of e-architecture are given.
  • Публикация
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    Mathematical apparatus of artificial neural networks for genetic algorithm controlling under structural parametric synthesis of large discrete systems
    (2022) Petrosov, D. A.; Pleshakova, E. S.; Osipov, A. V.; Ivanov, M. N.; Lopatnuk, L. A.; Radygin, V. Y.; Радыгин, Виктор Юрьевич
  • Публикация
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    The architecture of the emotion recognition program by speech segments
    (2022) Tsaregorodtsev, A. V.; Tsaregorodtsev, A.V.; Samoylov, V.E.; Zenov, A.E.; Radygin, V. Y.; Радыгин, Виктор Юрьевич
  • Публикация
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    Intelligent Web-Application for Countering DDoS Attacks on Educational Institutions
    (2022) Mikhail, I.; Korchagin, S.; Ekaterina, P.; Dmitry, S.; Victor, Radygin.; Радыгин, Виктор Юрьевич
    © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The work is devoted to the development of an intelligent prevention system DDoS attacks on educational institutions using blockchain technology. The principles of developing decentralized applications were studied using smart con-tracts. A model of a system for countering DDoS attacks using blockchain has been developed. A new architecture of an intelligent system is proposed using the blockchain to counter cyber-attacks, such as distributed denial of service. A com-putational experiment for issuing DDoS attacks on educational institutions was carried out. A comparison of the proposed intelligent system with traditional countermeasures against DDoS attacks used by educational institutions to ensure information security. The advantages of an intelligent blockchain system are established prevention of DDoS attacks, applied to political institutions. The results will be useful to specialists and researchers in both the field information security, and in the field of social and political sciences.
  • Публикация
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    Development of the Intelligent Object Detection System on the Road for Self-driving Cars in Low Visibility Conditions
    (2022) Vasiliev, N.; Pavlov, N.; Aleksey, O.; Mikhail, I.; Victor, Radygin.; Радыгин, Виктор Юрьевич
    © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Self-driving cars is rapidly developing area in modern world. Many companies, such as Tesla, are using computer vision technologies to automate driving process by computers using a lot of cameras, integrated in car bodies. One of the problems is weather. We are solving the following task: One day a self-driving car was driving and suddenly it started to rain. The main camera has lost image clarity, except random square area. We need to find out, either a man or a car is in this square area. It is guaranteed that there is a car or a man there. Classes are balanced. For train dataset we have images, positions of square areas with their size and labels. We do not have test dataset, but it is known, that it has only images. So, we need to create algorithm to locate areas, where image is not blurred and only then solve classification task. Finally, model scored using cross-validation.
  • Публикация
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    Dynamic Model of Semantic Information Signal Processing
    (2024) Khidirova, M.; Abdivakhidov, K.; Bylevsky, P.; Osipov, A.; Pleshakova, E.; Radygin, V.; Kupriyanov, D. Y.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
  • Публикация
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    Development of a Network Traffic Anomaly Detection System Based on Neural Networks
    (2024) Bespalova, N.; Ershov, A.; Sitnikov, S.; Nechaev, S.; Radygin, V.; Kupriyanov, D.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
  • Публикация
    Только метаданные
    Cognitive Graphs for Socio-Economic Objects Management
    (2024) Staroverova, A. A.; Romanova, E. V.; Bespalova, N. V.; Bylevskiy, P. G.; Radygin, V.; Kupriyanov, D.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
  • Публикация
    Только метаданные
    Recurrent Neural Networks for Text Generation
    (2024) Gasanov,F.F.; Romanova, E. V.; Bespalova, N.; Bylevskiy, P. G.; Radygin,V.; Kupriyanov, D.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич