Поиск по всему репозиторию:

    • 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

    • Perspective Approaches to Semantic Knowledge Representation and their Applications in the Context of the Task of Automatic Identification of the Semantically Equivalent Fragments of the Text Documents 

      Hardzei, Aliaksandr; Krapivin, Yury (БГУИР, 2020)
      The article presents the solution of the maintenance the trust in science in context of the problem of the automatic identification of the semantically equivalent fragments of the text documents. The solution refers to the implementation of the principles of unification of information representation ...

      2023-10-26

    • Some Aspects of Chaotic Time Series Analysis 

      Golovko, Vladimir; Savitsky, Yury; Maniakov, Nikolaj; Rubanov, Vladimir (BSUIR, 2001)
      We address two aspects in chaotic time series analysis, namely the definition of embedding parameters and the largest Lyapunov exponent. It is necessary for performing state space reconstruction and identification of chaotic behavior. For the first aspect, we examine the mutual information for ...

      2023-11-16

    • Some Methods of Adaptive Multilayer Neural Network Training 

      Maniakov, Nikolaj; Makhnist, Leonid; Rubanov, Vladimir (BSUIR, 2003)
      Is proposed two new techniques for multilayer neural networks training. Its basic concept is based on the gradient descent method. For every methodic are showed formulas for calculation of the adaptive training steps. Matrix algorithmizations for all of these techniques are very helpful in its program ...

      2023-11-16

    • Systemic challenges and obstacles to the implementation of digital technologies 

      Flyachinskaya, Natalia Nikolaevna (Белорусская государственная академия связи, 2022)
      Digitalization every year becomes more powerful and full of not only opportunities, but also risks. The introduction of digital technologies is a long process and can create challenges and endanger humanity. Lack of knowledge and insufficient methodologically scientific validity of their practical ...

      2023-11-11

    • The contribution of computer science to linguistics and terminology 

      Войтович, Кристина Александровна (БрГУ им. А. С. Пушкина, 2017)
      В статье показывается влияние интенсивного развития информационных технологий на исследования в области лингвистики и терминологии. Представлены примеры использования информационных разработок в корпусной, коммуникативной лингвистике; показан вклад компьютерных технологий в методологию и практическую ...

      2023-01-04

    • The human aspect of the architecture of Zaha Hadid 

      Войтович, Кристина Александровна; Хайдар Рабиа (БрГУ им. А. С. Пушкина, 2017)
      В статье раскрываются особенности архитектурных работ и стиля Захи Хадид, известного ирако-британского архитектора и дизайнера, представительницы деконструктивизма, лауреата Притцкеровской премии. Представлен анализ характерных черт стиля с точки зрения восприятия архитектуры человеком и реализации ...

      2023-01-04

    • The influence of the altered structure zone characteristics after the material jet treatment on the samples stress state during tensility 

      Verameichyk, A. I.; Neroda, M. V.; Holodar, B. G. (Peter the Great St. Petersburg Polytechnic University, 2023)
      The article investigates the influence of the mechanical characteristics (elasticity module, Poisson coefficient) of the material altered structure zones, which arise after heat treatment by concentrated high-energy impact. For rectangular samples, two forms of the structure formation zone are analyzed ...

      2024-01-31

    • The Smart Urban Transport System 

      Shviatsova, Alena; Shuts, Vasily (БГУИР, 2020)
      In the paper principles of functioning an intelligent urban transport system based on unmanned electric vehicles which capable of adapting to passenger traffic’s changes in real time are considered. The algorithm of drawing up a plan of passenger transportation by means of such transport system ...

      2021-05-27

    • Thermal resources of climate of Belarus and their application in “Green” energy industry 

      Barushka, M. (International Sakharov Environmental Institute of Belarusian State University, 2019)
      This abstract presents some research aimed at studying thermal resources of Belarus climate. The researcher analyzes the factors that influence solar radiation on the land surface such as the duration of sunshine, the number of clear and cloudy days with total and lower cloud cover, and total solar ...

      2020-01-31

    • Training of the recurrent neural networks for prediction 

      Savitsky, Jury; Golovko, Vladimir (BSUIR, 1999)
      In this paper the technique of creation of effective methods of training recurrent neural network for prediction problems are discussed. The various functions of activation of neural units are considered. The adaptive algorithms of training of neural networks with varied functions of activation of ...

      2023-11-15