Computer Science: Recent submissions

  • 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 ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Tussupov, Jamalbek; Kozhabai, Kairat; Bayegizova, Aigulim; Kassenova, Leila; Manbetova, Zhanat; Glazyrina, Natalya; Mukhamedi, Bersugir; Yeginbayev, Miras (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 to determine ...
  • Application of the Clahe Method Contrast Enhancement of X-Ray Images 
    Omarova, G. S; Aitkozha, Zh.Zh; Nuridinov, O; Starovoitov, V.V; Bekbolatov, S; Ostayeva, A.B (International Journal of Advanced Computer Science and Applications, 2022)
    Due to the nonlinearity of the luminance function produced by many medical recording devices, the quality of medical images deteriorates, which creates problems in the visual research work of physicians. X-rays can be ...
  • Application of Multicriteria Methods for Improvement of Information Security Metrics 
    Abdiraman, Aliya; Goranin, Nikolaj; Balevicius, Simas; Nurusheva, Assel; Tumasoniene˙, Inga (Sustainability, 2023)
    Metrics are a set of numbers that are used to obtain information about the operation of a process or system. In our case, metrics are used to assess the level of information security of information and communication ...
  • 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 program ...
  • 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 ...
  • A New Approach to Solving the Problem of Atmospheric Air Pollution in the Industrial City 
    Oralbekova, Zhanar; Zhukabayeva, Tamara; Iskakov, Kazizat; Zhartybayeva, Makpal; Yessimova, Nargiz; Zakirova, Alma; Kussainova, Ainur (Hindawi Scientific Programming, 2021)
    In order to ensure optimal operation of the existing environmental monitoring information system, it has become essential to use mathematical modeling based on the data assimilation algorithm. In this paper, a data ...
  • 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, Akbota; Kassymova, Akmaral; Abdikerimova, Gulzira; Abdimomynova, Manshuk; Tashenova, Zhuldyz; Nurlybaeva, Elmira (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 territories ...
  • 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 ...
  • 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 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 ...
  • A Multi-criteria-Based Expert Modeling for Assessing the Textbook Quality 
    Nurbekova, Zhanat; Sembayev, Talgat; Dossymbek, Dauren; Baigusheva, Kanagat; Omarov, Sayat; Nurlanov, Yeldos (International Journal of Information and Education Technology, 2023)
    This research considers the application of a multi-criteria approach to assess the quality of textbook content. The issues of determining evaluation criteria and organizing the work of experts are brought to the fore, ...
  • A Model of a Distributed Information System Based on the Z39.50 Protocol 
    Serikbayeva, S. K.; Tussupov, J. A.; Sambetbayeva, M. A.; Yerimbetova, A.S.; Borankulova, G.B.; Tungatarova, A.T. (International Journal of Communication Networks and Information Security, 2021)
    Based on the analysis of typical scenarios of information servers, the tasks that should be solved when organizing an access control system for distributed information resources are formulated. The possibilities of the ...
  • Advanced Applications of Carbonaceous Materials in Sustainable Water Treatment, Energy Storage, and CO2 Capture: A Comprehensive Review 
    Reza, Md Sumon; Afroze, Shammya; Kuterbekov, Kairat; Kabyshev, Asset; Bekmyrza, Kenzhebatyr Zh.; Haque, Md Naimul; Islam, Shafi Noor; Hossain, Md Aslam; Hassan, Mahbub; Roy, Hridoy; Islam, Md Shahinoor; Pervez, Md Nahid; Azad, Abul Kalam (Sustainability, 2023)
    The demand for energy has increased tremendously around the whole world due to rapid urbanization and booming industrialization. Energy is the major key to achieving an improved social life, but energy production and ...
  • 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 ...
  • Adaptation of students to professional activity through innovative technologies 
    Rakhimgalieva, Pakizat; Serikbayeva, Nurgul; Seiitkazy, Perizat; Kaishatayeva, Assel; Suleimenova, Zhansaya (World Journal on Educational Technology: Current Issues, 2021)
    The aim of this research is to reveal the views of primary school teachers, students and parents on distance education activities during the Covid-19 pandemic period, in order to evaluate the adaptation of students to ...
  • 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 ...

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