Computer Science: Recent submissions

  • Development of an Artificial Vision for a Parallel Manipulator Using Machine‑to‑Machine Technologies 
    Nussibaliyeva, Arailym; Sergazin, Gani; Tursunbayeva, Gulzhamal; Uzbekbayev, Arman; Zhetenbayev, Nursultan; Nurgizat, Yerkebulan; Bakhtiyar, Balzhan; Orazaliyeva, Sandugash; Yussupova, Saltanat (Sensors, 2024)
    This research focuses on developing an artificial vision system for a flexible delta robot ma‑ nipulator and integrating it with machine‑to‑machine (M2M) communication to optimize real‑time device interaction. This ...
  • DEVELOPMENT OF A MODEL AND TECHNOLOGY OF ACCESS TO DOCUMENTS IN SCIENTIFIC AND EDUCATIONAL ACTIVITIES 
    Serikbayeva, S.; Tussupov, J.; Sambetbayeva, M.; Yerimbetova, A.; Sadirmekova, Z.; Tungatarova, A.; Batyrkhanov, A.; Zakirova, A. (Eastern-European Journal of Enterprise Technologies, 2021)
    The paper deals with general issues of organizing access to electronic documents in the framework of scientific and educational activities. Large volumes of already existing information, its continuous growth, the ...
  • DEVELOPMENT OF A METHOD FOR STUDYING GAS IMBALANCE IN THE SECTION OF THE MAIN GAS PIPELINE OF KAZAKHSTAN 
    Orazbayev, B.; Zinagabdenova, D.; Abilgazy, N.; Kurmangaziyeva, L.; Ievlanov, M. (Eastern-European Journal of Enterprise Technologies, 2020)
    The existing models, methods, and technologies for managing the gas transmission system of the Republic of Kazakhstan have significantly become outdated. Therefore, during the operation of the gas transmission system, the ...
  • DEVELOPMENT OF A LAYER LEVELING TECHNOLOGY THAT REDUCES THE ENERGY INTENSITY OF THE PROCESSES OF MIXING AND DRYING THE FODDER MASS 
    Abilzhanuly, T.; Iskakov, R.,; Issenov, S.; Kubentaeva, G.; Mamirbaeva, I.; Abilzhanov, D.; Khaimuldinova, A.; Khamitov, N. (Eastern-European Journal of Enterprise Technologies, 2023)
    The object of the study is to determine the required power leveling device grinder-mixer-dryer. When operating equipment that combines grinding, mixing and drying in one device, there are such problems as energy ...
  • Development of a Framework for Classification of Impulsive Urban Sounds using BiLSTM Network 
    Katayev, Nazbek; Altayeva, Aigerim; Abduraimova, Bayan; Kurmanbekkyzy, Nurgul; Madibaiuly, Zhumabay; Kulambayev, Bakhytzhan (International Journal of Advanced Computer Science and Applications, 2023)
    Urban environments are awash with myriad sounds, among which impulsive noises stand distinct due to their brief and often disruptive nature. As cities evolve and expand, the accurate classification and management of ...
  • DEVELOPMENT NEURO-FUZZY MODEL TO PREDICT THE STOCKS OF COMPANIES IN THE ELECTRIC VEHICLE INDUSTRY 
    Barlybayev, A.; Zhetkenbay, L; Kaimov, D.; Yergesh, B. (Eastern-European Journal of Enterprise Technologies, 2023)
    Adaptive neuro-fuzzy inference system (ANFIS) it is a type of neural network that combines the strengths of both fuzzy logic and artificial neural networks. ANFIS is particularly useful in stock trading because it can ...
  • Development and Analysis of Models for Assessing Predicted Mean Vote Using Intelligent Technologies 
    Sansyzbay, L. Zh.; Orazbayev, B. B.; Wojcik, W. (International Journal of Fuzzy Logic and Intelligent Systems, 2020)
    One of the approaches toward determining the degree of microclimate comfort is measuring its individual components: temperature, air velocity, relative humidity, and air quality. A significant disadvantage of this approach ...
  • Development of a Geographical Question - Answering System in the Kazakh Language 
    Mukanova, Assel; Barlybayev, Alibek; Nazyrova, Aizhan; Kussepova, Lyazzat; Matkarimov, Bakhyt; Abdikalyk, Gulnazym (IEEE Access, 2024)
    The study presents a detailed framework designed to develop a Question-Answering System (QA System) for the Kazakh language, highlighting its importance in the field of Low Resource Languages (LRL) Text Processing. This ...
  • DETERMINATION OF RATIONAL PARAMETERS FOR HEAT TREATMENT OF CONCRETE MIXTURE BASED ON A HOLLOW ALUMINOSILICATE MICROSPHERE 
    Аtyaksheva, А.; Rozhkova, O.; Sarsikeyev, Y.; Аtyaksheva, А.; Yermekov, M.; Smagulov, A.; Ryvkina, N. (Eastern-European Journal of Enterprise Technologies, 2022)
    The research on determining rational parameters of heat treatment of a concrete mixture based on hollow aluminosilicate microspheres has defined the features of the intensifying action on the structural concrete ...
  • Detection of lung pathology using the fractal method 
    Abdikerimova, Gulzira; Shekerbek, Ainur; Tulenbayev, Murat; Sultanova, Bakhyt; Beglerova, Svetlana; Dzhaulybaeva, Elvira; Zhumakanova, Kamshat; Rysbekkyzy, Bakhytgul (International Journal of Electrical and Computer Engineering, 2023)
    Currently, the detection of pathology of lung cavities and their digitalization is one of the urgent problems of the healthcare industry in Kazakhstan. In this paper, the method of fractal analysis was considered to solve ...
  • Detection of heart pathology using deep learning methods 
    Naizagarayeva, Akgul; Abdikerimova, Gulzira; Shaikhanova, Aigul; Glazyrina, Natalya; Bekmagambetova, Gulmira; Mutovina, Natalya; Yerzhan, Assel; Tanirbergenov, Adilbek (International Journal of Electrical and Computer Engineering, 2023)
    In the directions of modern medicine, a new area of processing and analysis of visual data is actively developing - a radio municipality - a computer technology that allows you to deeply analyze medical images, such ...
  • Detection of chest pathologies using autocorrelation functions 
    Abdikerimova, Gulzira; Shekerbek, Ainur; Tulenbayev, Murat; Beglerova, Svetlana; Zakharevich, Elena; Bekmagambetova, Gulmira; Manbetova, Zhanat; Baibulova, Makbal (International Journal of Electrical and Computer Engineering, 2023)
    An important feature of image analysis is texture, seen in all images, from aerial and satellite images to microscopic images in biomedical research. A chest X-ray is the most common and effective method for diagnosing ...
  • Design Thinking as an Auxiliary Tool for Educational Robotics Classes 
    Tramonti, Michela; Dochshanov, Alden Meirzhanovich; Zhumabayeva, Assel Sagnayevna (Applied Sciences, 2023)
    The dynamic spread of 3D printing technologies and open-source electronics prototyping platforms has significantly enriched the diversity of instruments used within educational robotics (ER) settings. An active, ...
  • Design of an Educational Platform for Professional Development of Teachers with Elements of Blockchain Technology 
    Sakhipov, Aivar; Baidildinov, Talgat; Yermaganbetova, Madina; Ualiyev, Nurzhan (International Journal of Advanced Computer Science and Applications, 2023)
    This paper presents an in-depth examination of the development and implementation of an innovative platform for teacher professional development, incorporating features of blockchain technology. The platform manifests ...
  • Designing and Planning of Studies of Driver Behavior at Pedestrian Crossings Using Whole-Vehicle Simulators 
    Burdzik, Rafał; Simi´nski, Dawid; Kruszewski, Mikołaj; Niedzicka, Anna; Gasiorek, Kamila; Zabieva, Aliya Batyrbekovna; Mamala, Jarosław; Debicka, Ewa (Applied Sciences, 2024)
    The paper presents a proposed methodology for designing and planning research on driver behavior at pedestrian crossings using whole-vehicle simulators. It was assumed that dedicated research should be conducted in specific ...
  • Delving into Earth Dam Dynamics: Exploring the Impact of Inner Impervious Core and Toe Drain Arrangement on Seepage and Factor of Safety during Rapid Drawdown Scenarios 
    Utepov, Yelbek Bakhitovich; Mkilima, Timoth; Aldungarova, Aliya Kairatovna; Shakhmov, Zhanbolat Anuarbekovich; Akhazhanov, Sungat Berkinovich; Saktaganova, Nargul Amanovna; Abdikerova, Uliya Baktybaevna; Budikova, Aigul Moldashevna (Infrastructures, 2023)
    The study examined the intricate relationships between embankment slope configurations, toe drain designs, and drawdown scenarios. It utilized a unique combination of numerical, physical, and mathematical models. 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 ...

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