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Научные статьи: Недавние поступления

  • The Use of Python, Owlready, Sparql in Processing the Words Ontological Model of Public Political Discourse 
    SAIRANBEKOVA, Ayaulym; BEKMANOVA, Gulmira; OMARBEKOVA, Assel; MUKANOVA, Assel; ZULKHAZHAV, Altanbek (Advances in Transdisciplinary Engineering, 2024)
    The article describes a technology processing ontological model of words in public political discourse. The research task is developing an information question-answering system of political discourse in Kazakh language. ...
  • A Systematic Literature Review of Current Trends in Electronic Voting System Protection Using Modern Cryptography 
    Aidynov, Tolegen; Goranin, Nikolaj; Satybaldina, Dina; Nurusheva, Assel (Applied Sciences, 2024)
    Electronic voting, based on cryptographic protocols and blockchain technology, represents an advanced method for ensuring the security, transparency, and reliability of electoral processes. The scientific research presented ...
  • Assessment of the main features of the model of dissemination of information in social networks 
    Imanberdi, Assel; Lira, La; Kulmuratova, Aitolkyn; Rzayeva, Leila; Abitova, Gulnara; Bakiyeva, Aigerim; Orynbayeva, Ainur; Baimakhanbetova, Assem (International Journal of Electrical and Computer Engineering, 2023)
    Social networks provide a fairly wide range of data that allows one way or another to evaluate the effect of the dissemination of information. This article presents the results of a study that describes methods for ...
  • ASSESSMENT OF THE BEARING CAPACITY OF VARIABLE PROFILE PILES IN SOIL USING STATIC LOAD MODEL TESTS ON A TESTING APPARATUS 
    Lukpanov, R.,; Yenkebaev, S.,; Zhantlessova, Z.,; Dyussembinov, D.,; Altynbekova, A.,; Rahimov, R., (Eastern-European Journal of Enterprise Technologies, 2024)
    The paper presents the results of the study of the proposed type of variable profile piles. The proposed type of piles is reinforced concrete driven piles segmented in length. Each subsequent section has a radial ...
  • ASSESSMENT OF SOILS DEFORMABILITY UNDER VERTICAL LOAD 
    Zhussupbekov, Askar; Tulebekova, Assel; Jumabayev, Atogali; Zhumadilov, Iliyas (International Journal of GEOMATE, 2020)
    Laboratory and experimental tests in huge amount are required during engineering surveys for large and critical buildings and structures especially in complex geological conditions. The laboratory investigations are ...
  • Assessment of Regional and Sectoral Parameters of Energy Supply in the Context of Effective Implementation of Kazakhstan’s Energy Policy 
    Niyazbekova, Shakizada; Niyazbekova, Shakizada; Yessymkhanova, Zeinegul; Kerimkhulle, Seyit; Brovkina, Natalya; Annenskaya, Nataliya; Semenov, Alexander; Burkaltseva, Diana; Nurpeisova, Ardak; Maisigova, Leila; Varzin, Vasiliy (Energies, 2022)
    The development of global and regional energy markets is one of the most important problems of the current state of global economic relations and is one of the highest-priority areas in the formation of national and ...
  • ASSESSMENT OF PLANT DISEASE DETECTION BY DEEP LEARNING 
    Alpyssov, A.,; Uzakkyzy, N.; Talgatbek, A.,; Moldasheva, R.,; Bekmagambetova, G.,; Yessekeyeva, M.,; Kenzhaliev, D.,; Yerzhan, A.,; Tolstoy, A. (Eastern-European Journal of Enterprise Technologies, 2023)
    Plant disease and pest detection machines were originally used in agriculture and have, to some extent, replaced traditional visual identification. Plant diseases and pests are important determinants of plant ...
  • ASSESSING THE IMPACT OF TRANSPORT AND LOGISTICS ON ECONOMIC GROWTH IN EMERGING ECONOMIES: A CASE STUDY FOR THE CONDITIONS OF THE REPUBLIC OF KAZAKHSTAN 
    RAIMBEKOV, Zhanarys; SYZDYKBAYEVA, Bakyt (TRANSPORT PROBLEMS, 2021)
    This article examines the link between logistics indicators and economic growth in Kazakhstan in the period 1995-2019. Factors and the causal relationship between the indicators of transport development and economic ...
  • A Real-Time Dynamic Gesture Variability Recognition Method Based on Convolutional Neural Networks 
    Amangeldy, Nurzada; Milosz, Marek; Kudubayeva, Saule; Kassymova, Akmaral; Kalakova, Gulsim; Zhetkenbay, Lena (Applied Sciences, 2023)
    Among the many problems in machine learning, the most critical ones involve improving the categorical response prediction rate based on extracted features. In spite of this, it is noted that most of the time from the ...
  • Architecture and Planning of Residential Complexes in Kazakhstan 
    Amirbekova, Aidana; Karabayev, Gani; Mamedov, Seimur (ISVS e-journal, 2023)
    Planning and designing of urban residential complexes with all the functions in beautiful environments responding to the local customs is a difficult task. In Kazakhstan, as a result of the growth of the economy, the ...
  • A PRACTICAL SOLUTION FOR IMPROVING SOIL BASES IN PROBLEMATIC ENGINEERING CONDITIONS 
    Tulebekova, Assel; Zhankina, Aizhan; Imambayeva, Raikhan; Makhiyev, Bekbolat; Khapin, Alexandr; Anop, Darya (International Journal of GEOMATE, 2023)
    Improving the quality and efficiency of construction on problematic soil conditions largely depends on the correct assessment of their properties, the choice of foundations, and structural and technological solutions. ...
  • APPROACH TO THE SYNTHESIS OF AN APERIODIC ROBUST AUTOMATIC CONTROL SYSTEM BASED ON THE GRADIENT-SPEED METHOD OF LYAPUNOV VECTOR FUNCTIONS 
    Beisenbi, М.; Kaliyeva, S. (Eastern-European Journal of Enterprise Technologies, 2023)
    One of the actual problems for the theory and practice of control of dynamic objects is the development of methods for research and synthesis of control systems of multidimensional objects. The paper proposes a universal ...
  • Approach to automating the construction and completion of ontologies in a scientific subject field 
    Sadirmekova, Zhanna; Murzakhmetov, Aslanbek; Abduvalova, Ainur; Altynbekova, Zhanar; Makhatova, Valentina; Akhmetzhanova, Shynar; Tasbolatuly, Nurbolat; Serikbayeva, Sandugash (International Journal of Electrical and Computer Engineering, 2024)
    Domain ontologies facilitate the organization, sharing, and reuse of subject areas. Building a software ontology is labor-intensive and time-consuming. In the process of obtaining a software ontology, it is required ...
  • Applying textural Law’s masks to images using machine learning 
    Abdikerimova, Gulzira; Yessenova, Moldir; Yerzhanova, Akbota; Manbetova, Zhanat; Murzabekova, Gulden; Kaibassova, Dinara; Bekbayeva, Roza; Aldashova, Madina (International Journal of Electrical and Computer Engineering, 2023)
    Currently, artificial neural networks are experiencing a rebirth, which is primarily due to the increase in the computing power of modern computers and the emergence of very large training data sets available in global ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Tussupov, J.; Kozhabai, K.; Bayegizova, A.; Kassenova, L.; Manbetova, Z.; Glazyrina, N.; Bersugir, M.; Yeginbayev, M. (Eastern-European Journal of Enterprise Technologies, 2023)
    The paper is devoted to machine learning methods that focus on texture-type image enhancements, namely the improvement of objects in images. The aim of the study is to develop algorithms for improving images and ...
  • Application of informative textural Law’s masks methods for processing space images 
    Yessenova, Moldir; Abdikerimova, Gulzira; MURZABEKOVA, Gulden; Kakabayev, Nurbol; Glazyrina, Natalya; Adikanova, Saltanat; Uzakkyzy, Nurgul; Sadirmekova, Zhanna B.; Niyazova, Rozamgul (International Journal of Electrical and Computer Engineering, 2023)
    Image processing systems are currently used to solve many applied problems. The article is devoted to the identification of negative factors affecting the growth of grain in different periods of harvesting, using a ...
  • Application of deep learning methods for automated analysis of retinal structures in ophthalmology 
    Kassymova, Akmaral; Konyrkhanova, Assem; Issembayeva, Aida; Saimanova, Zagira; Saltayev, Alisher; Ongarbayeva, Maral; Issakova, Gulnur (International Journal of Electrical and Computer Engineering, 2024)
    This article examines a current area of research in the field of ophthalmology the use of deep learning methods for automated analysis of retinal structures. This work explores the use of deep learning methods such as ...
  • Application for Creating and Analyzing Competency-Based Curricula Using an Ontological Approach 
    NAZYROVA, AIZHAN; MILOSZ, MAREK; MUKANOVA, ASSEL; BEKMANOVA, GULMIRA; KUZIN, DMITRII; ALJAWARNEH, SHADI (IEEE Access, 2024)
    This article describes the development and implementation of cutting-edge software for creating, modifying, and analyzing curriculum plans based on a competency-based approach, structured in the form of ontologies. The ...
  • An Overview of Phase Change Materials and Their Applications in Pavement 
    Korniejenko, Kinga; Nykiel, Marek; Choinska, Marta; Jexembayeva, Assel; Konkanov, Marat; Aruova, Lyazat (Energies, 2024)
    The composite of a phase change material (PCM) and bitumen or asphalt as a matrix is expected as a new, advanced material for road construction. The main motivation for this article was to show the new possibilities and ...
  • An Overview of Micro- and Nano-Dispersion Additives for Asphalt and Bitumen for Road Construction 
    Korniejenko, Kinga; Nykiel, Marek; Choinska, Marta; Jexembayeva, Assel; Konkanov, Marat; Aruova, Lyazat (Buildings, 2023)
    The main motivations for the development of research in the area of appropriate additives for asphalt and bitumen are the enhancement of their properties and improvement of their production process, including the reduction ...

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