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Now showing items 1-20 of 1892

    • Application of algorithms for searching motion in the frame for the detection of vehicles 

      Anfilets, Sergei Viktorovich; Kasyanik, Valerii Victorovich; Shuts, Vasilii Nikolaevich (BSUIR, 2011)
      In the paper discusses methods for detecting moving objects in the video stream. It is proposed combined algorithm applied to the detection of vehicles. The results of testing under real conditions revealed a fairly high percentage of detection in order to be able to apply it in the detectors of transport.

      2023-11-20

    • Behavior Patterns of adaptive Multi-Joined Robot learned by Multi-Agent Influence Reinforcement Learning 

      Kabysh, Anton; Golovko, Vladimir; Mikhniayeu, Andrei; Rubanau, Uladzimir; Lipnikas, Arunas (BSUIR, 2011)
      This paper describes behavior patterns produced by Multi-Joined Robot learned via Influence Reinforcement learning. This learning technique used for distributed, adaptive and self-organizing control in multi-agent system. This technique is quite simple and uses agent’s influences to estimate learning ...

      2023-10-23

    • Cassette robotized urban transport system of mass conveying passenger based on the unmanned electric cars 

      Shuts, V.; Shviatsova, A. (БНТУ, 2019)
      Shuts, V. Cassette robotized urban transport system of mass conveying passenger based on the unmanned electric cars / V. Shuts, A. Shviatsova // Наука. Инновации. Производство = Science. Innovation. Production : сборник материалов VI Белорусско-Корейского научно-технического форума, 10 апреля 2019 г. ...

      2021-05-27

    • Computing of Lyapunov Exponents Techniques Using Neural Networks 

      Golovko, Vladimir; Savitsky, Yury (BSUIR, 2003)
      The authors examine neural network techniques for computing of Lyapunov spectrum using observations from unknown dynamical system. Such an approach is based on applying of multilayer perceptron (MLP) for forecasting the next state of dynamical system from the previous one. It allows for evaluating the ...

      2023-11-17

    • Convergence and integration of artificial neural networks with knowledge bases in next-generation intelligent computer systems 

      Kovalev, Mikhail; Kroshchanka, Aliaksandr; Golovko, Vladimir (БГУИР, 2022)
      In the article, an approach to the integration and convergence of artificial neural networks with knowledge bases in next-generation intelligent computer systems through the representation and interpretation of artificial neural networks in a knowledge base is considered. The syntax, denotational, and ...

      2023-11-02

    • Deep Learning Approach in the Context of Information Retrieval for Solving both Automatic Natural Language Generation and Automatic Text Generation Problems 

      Krapivin, Yury (БГУИР, 2021)
      The article presents the solution of practical application of the deep learning approach in the context of information retrieval based on the usage of LSTM and GPT-2 language models for solving both automatic natural language generation and automatic text generation problems.

      2023-10-26

    • Deep neural networks application in next-generation intelligent computer systems 

      Kroshchanka, Aliaksandr (БГУИР, 2022)
      In the article, an approach to building hybrid next-generation intelligent computer systems (NGICS) based on the integration of pre-trained models of deep neural networks and logical models developed using the OSTIS technology is proposed. To reduce the requirements for the size of the training dataset, ...

      2023-11-02

    • Dynamic windows scaling in Unix-like systems interface 

      Diomin, Vladimir; Kostiuk, Dmitriy; Nikoniuk, Alexander (BSUIR, 2011)
      The models of a scaled down window and of a window with variable scale are presented, as far as their practical implementation for Unix-like systems as the Compiz window manager extension modules. An implementation specific is provided for the X Window System environment. Changes in the original window ...

      2023-11-20

    • Evolution of detectors in neural network immune system for pattern recognition 

      Bezobrazov, Sergei; Golovko, Vladimir (БГУ, 2011)
      In this paper we present the basic principles of the evolution of detectors in intelligent system for pattern recognition, such as malicious code detection. This system based on integration of both Al methods: artificial neural networks and artificial immune systems. The goal of the evolution is ...

      2023-11-20

    • Experimental studies of ecologically-clean thermal insulation non-autoclave composites based on flax shive and different kinds of lime containing binders 

      Tur, Victor; Pikula, Aliaksandr (ПГУ, 2015)
      The main object of the this paper is to study the effect of the mix proportions with flax shive as filling agent in composie system on selected physico-mechanical properties of the light weight composites in influence of new kind of lime-silica binder. The artcle presents eco-friendly composite thermal ...

      2023-11-22

    • Geogebra как средство обучения слушателей-иностранцев подготовительного отделения математической терминологии на русском языке 

      Крагель, Екатерина Александровна (БрГУ им. А. С. Пушкина, 2023)
      Крагель, Е. А. Geogebra как средство обучения слушателей-иностранцев подготовительного отделения математической терминологии на русском языке / Е. А. Крагель // Вычислительные методы, модели и образовательные технологии : сборник материалов Республиканской научно-практической конференции, Брест, 20 ...

      2024-03-13

    • HR-бренд компаний как инновационный инструмент менеджмента и оценка его эффективности 

      Бунько, Светлана Александровна; Саленик, В. С. (БГУ, 2021)
      Выявлены роль и тенденции развития HR-брендинга в Республике Беларусь. Обобщены теоретические разработки и практический опыт процесса формирования HR-бренда компаний. Обобщены существующие подходы к оценке эффективности HR-бренда и даны рекомендации по дальнейшему их совершенствованию.

      2023-10-27

    • Information Retrieval and Machine Translation in Solving the Task of Automatic Recognition of Adopted Fragments of Text Documents 

      Krapivin, Yury (БГУИР, 2019)
      The solution for the task of automatic recognition of adopted fragments in multilingual information environment with the cross-language functionality and focus on the detection of both explicit and implicit adoptions of text fragments by means of the well-developed linguistic text analysis, that is ...

      2023-10-26

    • Integration of artificial neural networks and knowledge bases 

      Golovko, Vladimir Adamovich; Kroshchanka, Alexander Alexsandrovich; Golenkov, Vladimir Vasilyevich; Ivashenko, Valerian Petrovich; Kovalev, Mikhail Vladimirovich; Taberko, Valery Vasilyevich; Ivaniuk, Dzmitry Sergeevich (БГУИР, 2018)
      This article reviews the questions and directions of integration of artificial neural networks with knowledge bases. There are two main directions of integration: 1) the inputs and outputs of artificial neural network to use integration of knowledge bases and artificial neural networks for solutions ...

      2023-11-01

    • IT-сектор и его роль в экономике страны 

      Клецко, А. С.; Романюк, А. И.; Беликова, Елена Геннадьевна (Белорусский государственный технологический университет, 2022)
      История развития информационных технологий в Беларуси насчитывает десятилетия. Для Беларуси развитие IT-сектора – это способ создать международную репутацию надежного качественного делового партнера. Почти четверть от общего числа студентов вузов получают образование на STEM-специальностях, и около ...

      2024-01-11

    • IT-технологии в бухгалтерском учете 

      Беликова, Елена Геннадьевна (БрГУ им. А. С. Пушкина, 2018)
      Беликова, Е. Г. IT-технологии в бухгалтерском учете / Е. Г. Беликова // Вычислительные методы, модели и образовательные технологии: сборник материалов V Международной научно-практической конференции, Брест, 19 октября 2018 г. / Брестский государственный университет им. А. С. Пушкина ; под общ. ред. ...

      2023-03-07

    • Major branches of combinatorics 

      Chernookiy, I. V. (БрГУ им. А. С. Пушкина, 2021)
      Chernookiy, I. V. Major branches of combinatorics / I. V. Chernookiy // Математические и физические методы исследований: научный и методический аспекты : сборник материалов Республиканской научно-практической конференции, Брест, 22–23 апреля 2021 г. / Брестский государственный университет имени А. С. ...

      2021-11-09

    • Neural Network Model for Transient Ischemic Attacks Diagnostics 

      Golovko, Vladimir; Apanel, Elena; Mastykin, Alexander; Vaitsekhovich, Henadzi; Evstigneev, Victor (BSUIR, 2011)
      In this paper the neural network model for transient ischemic attacks recognition have been addressed. The proposed approach is based on integration of the NPCA neural network and multilayer perceptron. The dataset from clinic have been used for experiments performing. Combining two different neural ...

      2023-11-20

    • Neural Networks for Chaotic Time Series Forecasting 

      Golovko, Vladimir; Savitsky, Yury (BSUIR, 2001)
      This paper examines neural network in order to predict behavior o f chaotic systems. The prediction is performed both on the level o f emergent structures and on the level o f individual data points. The network is tested using the Henon and Lorenz chaotic time series. The results o f experiments and ...

      2023-11-16

    • Neural networks in transient ischemic attacks diagnostics 

      Golovko, Vladimir; Apanel, Elena; Mastykin, Alexander; Vaitsekhovich, Henadzi (БГУ, 2011)
      In this paper the neural network model for transient ischemic attacks recognition have been addressed. The proposed approach is based on integration of the NPCA neural network and multilayer perceptron. The dataset from clinic have been used for experiments performing. Combining two different neural ...

      2023-11-20