Engineering: Недавние поступления

  • 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 ...
  • A new Om(z) diagnostic of dark energy in general relativity theory 
    Myrzakulov, N.; Koussour, M.; Gogoi, Dhruba Jyoti (The European Physical Journal C, 2023)
    In this paper, we propose a new parametrization of dark energy based on the Om(z) diagnostic tool behavior. For this purpose, we investigate a functional form of the Om(z) that predicts the popular dark energy ...
  • An Analysis of the Correct Frequency of the Service Inspections of German Passenger Cars—A Case Study on Kazakhstan and Poland 
    Nurkusheva, Saltanat; Bembenek, Michał; Berdychowski, Maciej; Gajdzik, Bozena; Wolniak, Radosław (Vehicles, 2024)
    This article presents a case study on estimating the real service inspection intervals for German-brand passenger cars in Kazakhstan and Poland. This study aimed to identify disparities between the official recommendations ...
  • Analyzing Disease and Pest Dynamics in Steppe Crop Using Structured Data 
    TUSSUPOV, JAMALBEK; ABDIKERIMOVA, GULZIRA; ISMAILOVA, AISULU; KASSYMOVA, AKMARAL; BELDEUBAYEVA, ZHANAR; AITIMOV, MURAT; MAKULOV, KAIYRBEK (IEEE Access, 2024)
    In this study, an analysis of the spectral brightness coefficients (SBC) of agricultural crops in the steppe regions of Kazakhstan was carried out using remote field and space measurements during the growing season. The ...
  • ANALYSIS OF THE SPECTRAL PROPERTIES OF WHEAT GROWTH IN DIFFERENT VEGETATION PERIODS 
    Yerzhanova, A.; Kassymova, A.; Abdikerimova, G.; Abdimomynova, M.; Tashenova, Z.; Nurlybaeva, E. (Eastern-European Journal of Enterprise Technologies, 2021)
    The article presents a technique for studying space images based on the analysis of the spectral brightness coefficient (SBC) of space images of the earth's surface. Recognition of plant species, soils, and ...
  • Analysis of the emotional coloring of text using machine and deep learning methods 
    Abdykerimova, Lazzat; Abdikerimova, Gulzira; Konyrkhanova, Assem; Nurova, Gulsara; Bazarova, Madina; Bersugir, Mukhamedi; Kaldarova, Mira; Yerzhanova, Akbota (International Journal of Electrical and Computer Engineering, 2024)
    The presented scientific article is a comprehensive study of machine learning and deep learning methods in the context of emotion recognition in text data. The main goal of the study is to conduct a comprehensive ...
  • Analysis of the Consistency of Prerequisites and Learning Outcomes of Educational Programme Courses by Using the Ontological Approach 
    Nazyrova, Aizhan; Milosz, Marek; Bekmanova, Gulmira; Omarbekova, Assel; Mukanova, Assel; Aimicheva, Gaukhar (Applied Sciences, 2023)
    The article presents the results of the application of an ontological approach to the description of the structure and content of the educational programme, and its subsequent analysis for the consistency of prerequisites ...
  • ANALYSIS OF RAINFALL IN THE KAZAKHSTAN 
    Zhussupbekov, Askar; Zharkenov, Yerkebulan; Kuderin, Marat (International Journal of GEOMATE, 2019)
    Before building the storm sewer networks the analysis of precipitation is very important. The issues of assessing the reliability of the information on the annual amounts of precipitation in the meteorological monitoring ...
  • Analysis of modern approaches for the prediction of electric energy consumption 
    Kalimoldayev, Maksat; Drozdenko, Aleksey; Koplyk, Igor; Marinich, T.; Abdildayeva, Assel; Zhukabayeva, Tamara (De Gruyter, 2020)
    A review of modern methods of forming a mathematical model of power systems and the development of an intelligent information system for monitoring electricity consumption. The main disadvantages and advantages of the ...
  • Analysis of modern approaches for maintaining a comfortable microclimate in the buildings 
    Sansyzbay, L Zh (IOP Conference Series: Materials Science and Engineering, 2020)
    This paper identifies the technical and economic aspects of application of intelligent technologies to maintain a comfortable indoor microclimate on the basis of statistical data. In the process of studying works of ...

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