Научные статьи: Recent submissions

  • Axial-Symmetric Diffraction Radiation Antenna with a Very Narrow Funnel-Shaped Directional Diagram 
    Sirenko, Yuriy; Sautbekov, Seil; Sautbekova, Merey; Yashina, Nataliya; Burambayeva, Nursaule; Begimova, Assel (Applied Sciences, 2021)
    The paper is focused on reliable modeling and analysis of axially symmetric radiators with a very narrow (throat) funnel-shaped radiation pattern. When such a diagram is formed, a wave analogue of Smith–Purcell coherent ...
  • Automatic Classification of Scanned Electronic University Documents using Deep Neural Networks with Conv2D Layers 
    Baimakhanova, Aigerim; Zhumadillayeva, Ainur; Avdarsol, Sailaugul; Zhabayev, Yermakhan; Revshenova, Makhabbat; Aimeshov, Zhenis; Uxikbayev, Yerkebulan (International Journal of Advanced Computer Science and Applications, 2023)
    This paper proposes a novel approach for scanned document categorization using a deep neural network architecture. The proposed approach leverages the strengths of both convolutional neural networks (CNNs) and recurrent ...
  • Automated Pneumonia Diagnosis using a 2D Deep Convolutional Neural Network with Chest X-Ray Images 
    Kassylkassova, Kamila; Omarov, Batyrkhan; Kazbekova, Gulnur; Kozhamkulova, Zhadra; Maikotov, Mukhit; Bidakhmet, Zhanar (International Journal of Advanced Computer Science and Applications, 2023)
    Tiny air sacs in one or both lungs become inflamed as a result of the lung infection known as pneumonia. In order to provide the best possible treatment plan, pneumonia must be accurately and quickly diagnosed at initial ...
  • Issues of Increasing the Efficiency of Traffic Management on the Main Streets of Astana 
    ZHANDARBEKOVA, Assel; KURENKEYEVA, Dariyash; MURZABEKOVA, Kenzhegul; MUKHAMETZHANOVA, Aizhan; KALENOV, Galymzhan; TULENDIYEV, Yerlan; KUANYSHBEKOVA, Kundyz (Advances in Transdisciplinary Engineering, 2024)
    Given the scarcity of funds in the city budget, the current way to improve the efficiency of traffic management is to coordinate traffic lights at a number of regulated intersections or pedestrian crossings, that requires ...
  • 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 (Computer Systems and Communication Technology, 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 ...
  • Associations between resilience, technostress and reflective capacity in social pedagogy students: A structural equation modeling methodology 
    Baisarinova, Aigerim; Toleubekova, Rymshash (Journal of Education and e-Learning Research, 2023)
    Understanding factors affecting student academic and life outcomes may be critical for social work programs and educational institutions. Therefore, this study aims to explore the relationships between resilience, ...
  • 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 ...
  • DEFORMATION FEATURES OF TRUNK PIPELINES WITH COMPOSITE LININGS UNDER STATIC LOADS 
    Moldagaliyev, A.; Zhangabay, N.; Suleimenov, U.; Avramov, K.; Raimberdiyev, T.,; Chernobryvko, M.; Umbitaliyev, A.; Jumabayev, A.; Yeshimbetov, S. (Eastern-European Journal of Enterprise Technologies, 2023)
    This paper considers the deformation process of a typical section of a steel trunk pipeline with a defective zone, strengthened with a carbon fiber composite lining, under the influence of stationary internal pressure. ...
  • Deep Neural Network for Detecting Fake Profiles in Social Networks 
    Amankeldin, Daniyal; Kurmangaziyeva, Lyailya; Mailybayeva, Ayman; Glazyrina, Natalya; Zhumadillayeva, Ainur; Karasheva, Nurzhamal (Computer Systems Science and Engineering, 2023)
    This paper proposes a deep neural network (DNN) approach for detecting fake profiles in social networks. The DNN model is trained on a large dataset of real and fake profiles and is designed to learn complex features and ...
  • Deep learning based static hand gesture recognition 
    Satybaldina, Dina; Kalymova, Gulzia (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    Hand gesture recognition becomes a popular topic of deep learning and provides many application fields for bridging the human-computer barrier and has a positive impact on our daily life. The primary idea of our project ...
  • Data generation using generative adversarial networks to increase data volume 
    Aitimova, Ulzada; Aitimov, Murat; Mukhametzhanova, Bigul; Issakulova, Zhanat; Kassymova, Akmaral; Ismailova, Aisulu; Kadirkulov, Kuanysh; Zhumabayeva, Assel (International Journal of Electrical and Computer Engineering, 2024)
    The article is an in-depth analysis of two leading approaches in the field of generative modeling: generative adversarial networks (GANs) and the pixelto-pixel (Pix2Pix) image translation model. Given the growing interest ...
  • Cybersecurity Risk Assessments within Critical Infrastructure Social Networks 
    Aktayeva, Alimbubi; Makatov, Yerkhan; Kubigenova, Akku Tulegenovna; Dautov, Aibek; Niyazova, Rozamgul; Zhamankarin, Maxud; Khan, Sergey (Data, 2023)
    Cybersecurity social networking is a new scientific and engineering discipline that was interdisciplinary in its early days, but is now transdisciplinary. The issues of reviewing and analyzing of principal tasks related ...
  • Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning 
    Sultan, Daniyar; Toktarova, Aigerim; Zhumadillayeva, Ainur; Aldeshov, Sapargali; Mussiraliyeva, Shynar; Beissenova, Gulbakhram; Tursynbayev, Abay; Baenova, Gulmira; Imanbayeva, Aigul (Computers, Materials & Continua, 2023)
    Communication in society had developed within cultural and geographical boundaries prior to the invention of digital technology. The latest advancements in communication technology have significantly surpassed the ...
  • Control of Telecommunication Network Parameters under Conditions of Uncertainty of the Impact of Destabilizing Factors 
    Kozlovskyi, Valerii; Shvets, Ivan; Lysetskyi, Yurii; Karpinski, Mikolaj; Shaikhanova, Aigul; Shangytbayeva, Gulmira (Information, 2024)
    The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications ...

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