DSpace ENU: Недавние поступления

  • 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 (IJECE), 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 Impact of International Trade Intensity on Logistics Efficiency: A Case Study of The EAEU Countries 
    Raimbekov, Zhanarys; Syzdykbayeva, Bakyt; Rakhmetulina, Aigerim; Rakhmetulina, Zhibek; Kinasheva, Zhadyra (Journal of Logistics, Informatics and Service Science, 2024)
    Kazakhstan and the Eurasian Economic Union countries play an important role in international trade with those participating in the Chinese Silk Road Economic Belt Initiative (SREB), providing trade, transport, and transit ...
  • ASSESSMENT OF THE BEARING CAPACITY OF VARIABLE PROFILE PILES IN SOIL USING STATIC LOAD MODEL TESTS ON A TESTING APPARATUS 
    Lukpanov, Rauan; Yenkebaev, Serik; Zhantlessova, Zhibek; Dyussembinov, Duman; Altynbekova, Aliya; Rakhimov, Ruslan (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 displacement ...
  • ASSESSMENT OF PLANT DISEASE DETECTION BY DEEP LEARNING 
    Alpyssov, Akan; Uzakkyzy, Nurgul; Ayazbaev, Talgatbek; Moldasheva, Raushan; Bekmagambetova, Gulmira; Yessekeyeva, Mnyaura; Kenzhaliev, Dossym; Yerzhan, Assel; Tolstoy, Ailanysh (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 productivity ...
  • A review of intelligent interactive learning methods 
    Ukenova, Aru; Bekmanova, Gulmira (Frontiers in Education, 2023)
    The development of intelligent interactive learning approaches has received a lot of attention in recent years due to the trend of incorporating intelligent algorithms. Intelligent interactive education tools have a ...
  • 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 ...
  • APPROACH TO THE SYNTHESIS OF AN APERIODIC ROBUST AUTOMATIC CONTROL SYSTEM BASED ON THE GRADIENT-SPEED METHOD OF LYAPUNOV VECTOR FUNCTIONS 
    Beisenbi, Мamyrbek; Kaliyeva, Samal (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 to ...
  • 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 ...