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Перегляд Проблеми програмування, 2022 за назвою

Репозиторій DSpace/Manakin

Перегляд Проблеми програмування, 2022 за назвою

Сортувати за: Порядок: Результатів:

  • Decompositional Extraction and Retrieval of Conceptual Knowledge 
    Terletskyi, D.O.; Yershov, S.V. (Проблеми програмування, 2022)
    An ability to extract hidden and implicit knowledge, their integration into a knowledge base, and then retrieval of required knowledge items are important features of knowledge processing for many modern knowledge-based ...
  • Development of decision support system using OLAP-technologies for information security monitoring systems 
    Dashdamirova, K.Q. (Проблеми програмування, 2022)
    The article highlighted the need for continuous monitoring of the computer networks (CN) for information security and analyzed the sources of data for information security monitoring (ISM). Methods of data collection from ...
  • Digital health systems: SMART-system for remote support of hybrid E-rehabilitation services and activities 
    Palagin, O.V.; Malakhov, K.S.; Velychko, V.Yu.; Semykopna, T.V.; Shchurov, O.S. (Проблеми програмування, 2022)
    The top-priority challenges were faced by the medical rehabilitation system in Ukraine. Particularly important tasks include, first of all, the rehabilitation of patients who have recovered from COVID-19 disease and people ...
  • Extracting structure from text documents based on machine learning 
    Kudim, K.A.; Proskudina, G.Yu. (Проблеми програмування, 2022)
    This study is devoted to a method that facilitates the task of extracting structure from the text documents using an artificial neural network. The method consists of data preparation, building and training the model and ...
  • Features of building recommendation systems based on neural network technology using multithreading 
    Komleva, N.O.; Zinovatna, S.L.; Liubchenko, V.V.; Komlevoi, O.M. (Проблеми програмування, 2022)
    The article is devoted to the creation of a recommendation system for tourists regarding hotels using a neural network based on a multilayer perceptron. The work uses the mechanism of parallelization of the training sample ...
  • Formal semantics and analysis of tokenomics properties 
    Letychevskyi, O.O.; Peschanenko, V.S.; Poltorackiy, M.Yu.; Tarasich, Yu.H.; Vinnyk, M.O. (Проблеми програмування, 2022)
    Today we are witnessing the rapid development of products and services based on blockchain technology. Cryptocurrencies and tokens are becoming an integral part of a person’s daily life. One of the main and, at the same ...
  • Friend-or-Foe Recognition Algorithm Development for the Corresponding Software Building 
    Ogurtsov, M.I. (Проблеми програмування, 2022)
    2022 рік показав нагальну необхідність вдосконалення існуючих систем впізнавання об’єктів типу «свій-чужий», що викликає на зростанням кількості технічних засобів (особливо – безпілотних) на полі бою. Таке різке зростання ...
  • Information resources distribution between automated workstations in local corporative networks 
    Pursky, O.I.; Kozlov, V.V.; Tomashevska, T.V.; Dyvak, V.V.; Hordiiko, N.O.; Sinitsky, M.Y. (Проблеми програмування, 2022)
    This article focuses on the problem of optimal distribution of related information resources between automated workstations in local corporate networks. In this work we present a mathematical description of the algorithm ...
  • Method of detection of http attacks on a smart home using the algebraic matching method 
    Gorbatiuk, V.O.; Gorbatiuk, S.O. (Проблеми програмування, 2022)
    All international and domestic spheres of production and service are developing at a frantic pace, and in modern life it is no longer possible to imagine any enterprise or government institution without connecting to the ...
  • Molecular modeling in the radiation therapy. The algebraic approach 
    Volkov, V.A.; Tarasich, Yu.H. (Проблеми програмування, 2022)
    The rapid development of the chemical industry and science, and new challenges in the healthcare sector, put forward increased demands for the development of the theory of organic and inorganic chemistry, for the search ...
  • On the peculiarities of using sparse matrices in problems of mathematical modeling 
    Khimich, O.M.; Popov, A.V.; Chystiakov, О.V. (Проблеми програмування, 2022)
    Mathematical modeling and the related computer experiment are now one of the main means of studying objects, processes and phenomena of various nature: in science, engineering, economics, society, etc. A significant ...
  • Ontological system processing of databases of scientific publications 
    Palagin, O.V.; Petrenko, N.G.; Boyko, M.O. (Проблеми програмування, 2022)
    Development of theories, methods and algorithms for the discovery and formation of new knowledge always was one of the most important tasks for any researcher, especially if they actively working on creation of new scientific ...
  • Performance analysis of massively parallel programs for graphics processing units 
    Rahozin, D.V. (Проблеми програмування, 2022)
    Any modern Graphics Processing Unit (graphics card) is a good platform to run massively parallel programs. Still, we lack tools to observe and measure performance characteristics of GPU-based software. We state that due ...
  • Research on methods of building an interactive map in a web application 
    Katerynych, L.O.; Sazonov, N.V. (Проблеми програмування, 2022)
    The purpose of this article is to formulate a list of rules for creating an efficient and convenient informational system for vicinity and building navigation and to create a web-app with this functionality. To accomplish ...
  • Semantic alignment of ontologies meaningful categories with the generalization of descriptive structures 
    Manziuk, E.A.; Barmak, O.V.; Krak, Iu.V.; Pasichnyk, O.A.; Radiuk, P.M.; Mazurets, O.V. (Проблеми програмування, 2022)
    The presented work addresses the issue of semantic alignment of ontology components with a generalized structured corpus. The field of research refers to the sphere of determining the features of trust in artificial ...
  • Software engineering and big data software 
    Sydorov, M.O.; Sydorova, N.M. (Проблеми програмування, 2022)
    Software engineering is a mature industry of human activity focused on the creation, deployment, marketing and maintenance of software. The fundamental concepts of engineering are life cycle model; three main components ...
  • Table interpretation of the temporal description logic LTLALC 
    Reznichenko, V.A.; Chystiakova, I.S. (Проблеми програмування, 2022)
    Description logics are widely used to describe and represent knowledge in the Semantic Web. This is a modern and powerful mechanism that provides the possibility of extracting knowledge from already existing ones. Thanks ...
  • Technological trends & software engineering education: a systematic review study 
    Nesterenko, O.V. (Проблеми програмування, 2022)
    The quality of software engineering education is influenced by the consideration of modern industrial trends, IT trends and software development methodologies. The transition to a new level of industry - “Industry 4.0”, ...
  • The concept and evaluating of big data quality in the semantic environment 
    Novitsky, A.V. (Проблеми програмування, 2022)
    Big data refers to large volumes, complex data sets with various autonomous sources, characterized by continuous growth. Data storage and data collection capabilities are now rapidly expanding in all fields of science and ...
  • The problem of developing the architecture of modern cognitive radar system 
    Коsovets, M.; Tovstenko, L. (Проблеми програмування, 2022)
    The problem of developing the architecture of modern cognitive radar systems using artificial intelligence technologies is considered. The main difference from traditional systems is the use of a trained neural network. The ...

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