Научные статьи: Recent submissions

  • 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 ...
  • Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods 
    TUSSUPOV, JAMALBEK; YESSENOVA, MOLDIR; ABDIKERIMOVA, GULZIRA; AIMBETOV, AIDYN; BAKTYBEKOV, KAZBEK; MURZABEKOVA, GULDEN; AITIMOVA, ULZADA (IEEE Access, 2024)
    This article is devoted to a set of important areas of research: the analysis of formal representations and verification of pests and pathogens affecting crops using spectral brightness coefficients (SBR) for the period ...
  • Agents and Multi-agent Systems in the Management of Electric Energy Systems 
    BITIMANOVA, Saltanat; SHUKIROVA, Aliya (Management and Production Engineering Review, 2023)
    Electric energy systems need constant modernization and updating to solve such problems as distributed management, self-sealing, improving the quality of electricity, demand management, and integration of renewable energy ...
  • A Deep Learning-Based Approach for Road Surface Damage Detection 
    Kulambayev, Bakhytzhan; Beissenova, Gulbakhram; Katayev, Nazbek; Abduraimova, Bayan; Zhaidakbayeva, Lyazzat; Sarbassova, Alua; Akhmetova, Oxana; Issayev, Sapar; Suleimenova, Laura; Kasenov, Syrym; Shadinova, Kunsulu; Shyrakbayev, Abay (Computers, Materials & Continua, 2022)
    Timely detection and elimination of damage in areas with excessive vehicle loading can reduce the risk of road accidents. Currently, various methods of photo and video surveillance are used to monitor the condition of ...
  • Acoustic Method of Quality Control of Two-Component Composite Materials 
    Saimanova, Zagira; Sukhinin, Sergey; Zhumadillayeva, Ainur; Mukhametzhanova, Aigul; Smagulova, Assemgul; Abildaeva, Gulnur (Applied Sciences, 2021)
    The features of using the acoustic method for accurately determining the concentration of components in two-component composite materials by measuring the speed of sound of long waves are described in this paper. ...
  • A COMPARATIVE THERMAL ANALYSIS OF TWO WORKPIECE MATERIALS OF DIFFERENT MACHINABILITY WHEN TURNING BASED ON IR THERMOGRAPHY 
    UHRYNSKI, Andrzej; NURKUSHEVA, Saltanat; USSERBAYEV, Muratbek; HYLA, Pawel; BEMBENEK, Michał (Journal of Machine Engineering, 2024)
    The comparative thermography analysis of temperature during machining by turning was presented. For the tests cast iron EN-GJL 250 and stainless steel 1.4301 were used. The machining by turning was performed with the ...
  • Ab Initio Modeling of CuGa1−xInxS2, CuGaS2(1−x)Se2x and Ag1−xCuxGaS2 Chalcopyrite Solid Solutions for Photovoltaic Applications 
    Grechenkov, Jurij; Gopejenko, Aleksejs; Bocharov, Dmitry; Isakoviˇca, Inta; Popov, Anatoli I.; Brik, Mikhail G.; Piskunov, Sergei (Energies, 2023)
    Chalcopyrites are ternary semiconductor compounds with successful applications in photovoltaics. Certain chalcopyrites are well researched, yet others remain understudied despite showing promise. In this study, we use ...
  • AB-INITIO CALCULATIONS OF OXYGEN VACANCY IN Ga2O3 CRYSTALS 
    Usseinov, A.; Koishybayeva, Zh.; Platonenko, A.; Akilbekov, A.; Purans, J.; Pankratov, V.; Suchikova, Y.; Popov, A. I. (LATVIAN JOURNAL OF PHYSICS AND TECHNICAL SCIENCES, 2021)
    Gallium oxide β-Ga2 O3 is an important wide-band gap semiconductor. In this study, we have calculated the formation energy and transition levels of oxygen vacancies in β-Ga2 O3 crystal using the B3LYP hybrid ...
  • A Systematic Approach to the Model Development of Reactors and Reforming Furnaces With Fuzziness and Optimization of Operating Modes 
    ORAZBAYEV, BATYR; ZHUMADILLAYEVA, AINUR; KABIBULLIN, MADYAR; CRABBE, M. JAMES C.; ORAZBAYEVA, KULMAN; YUE, XIAOGUANG (IEEE Access, 2023)
    The paper studies the problems of developing interconnected models of aggregates of complex chemical-technological systems (CTS) in conditions of scarcity and fuzziness of the initial information. Since the known methods ...
  • Determination of the optimal shape of matrix elements partitioning on three abstract heterogeneous processors 
    Klyuyeva, Ye.G; Yavorskij, V.V.; Adamov, A.A.; Utepbergenov, I.T. (Cogent Engineering, 2020)
    The paper presents the results of a study done to find the optimal shapes of matrix element partitioning on three abstract heterogeneous processors when performing multiplication operations. An abstract processor model ...
  • Global output tracking by state feedback for highorder nonlinear systems with time-varying delays 
    Alimhan, Keylan; Mamyrbayev, Orken; Erdenova, Aigerim; Akmetkalyeva, Almira (Cogent Engineering, 2020)
    This paper focuses on the problem of global practical output tracking for a class of high-order non-linear systems with time-varying delays (via state feedback). Under mild growth conditions on the system nonlinearities ...
  • Natural Sources in Preventive Conservation of Naturally Aged Textiles 
    Wendt, J.A; Indrie, L,; Dejeu, P,; Albu, A,; Ilieș, D.C; Costea, M,; Caciora, T,; Ilieș, G,; Hodor, N,; Josan, I,; Berdenov, Z,; Grama, V,; Safarov, B (FIBRES & TEXTILES in Eastern Europe, 2021)
    Natural antimicrobials can eliminate fungi and prevent the aging of cotton fabrics. While fungi can cause severe infections to the fabric user etc, natural antimicrobials have the advantage of not being toxic to humans. ...

Search DSpace


Browse

My Account