Computer Science: Недавние поступления

  • Integrating numerical methods and machine learning to optimize agricultural land use 
    Tynykulova, Assemgul; Mukhanova, Ayagoz; Mukhomedyarova, Ainagul; Alimova, Zhanar; Tasbolatuly, Nurbolat; Smailova, Ulmeken; Kaldarova, Mira; Tynykulov, Marat (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    In the current context, optimizing the utilization of agricultural land resources is increasingly vital for production intensification. This study presents a methodological approach employing numerical methods and ...
  • Innovation Off the Bat: Bridging the ChatGPT Gap in Digital Competence among English as a Foreign Language Teachers 
    Urazbayeva, Gulsara; Kussainova, Raisa; Aibergen, Aikumis; Kaliyeva, Assel; Kantayeva, Gulnur (Education Sciences, 2024)
    This research explores the guided experimental implementation of ChatGPT as a tool for developing teachers’ skills in teaching English. The intervention involved 24 in-service English as a Foreign Language (EFL) teachers ...
  • Information Security of Educational Portal Based on Face Anti-Spoofing Method: Effectiveness of Tiny Neural Network Machine Learning Model 
    Serik, Meruert; Tleumagambetova, Danara; Alaminov, Muratbay (I.J. Modern Education and Computer Science, 2025)
    This article presents the implementation of a machine learning-based face anti-spoofing method to enhance the security of an educational information portal for university students. The study addresses the challenge of ...
  • Information Diffusion Modeling in Social Networks: A Comparative Analysis of Delay Mechanisms Using Population Dynamics 
    Bakenova, Kamila; Kuznetsov, Oleksandr; Artyshchuk, Iryna; Shaikhanova, Aigul; Shevchuk, Ruslan; Orobchuk, Oleksandra (Applied Sciences, 2025)
    This study presents a comprehensive analysis of information diffusion in social networks with time delay mechanisms. We first analyze real Reddit thread data, identifying limitations in the sample size. To overcome this, ...
  • Improving the Transport and Logistic Infrastructure of a City Using the Graph Theory Method: The Case of Astana, Kazakhstan 
    Syzdykbayeva, Bakyt; Raimbekov, Zhanarys; Baiburiev, Ruslan; Dulatbekova, Zhanar (Sustainability, 2025)
    The rapid growth of cities significantly impacts the development of transport and logistics infrastructure (TLI), creating substantial challenges for the transport network and quality of life. To enhance the efficiency ...
  • Improving the efficiency of food supplies for a trading company based on an artificial neural network 
    Kassekeyeva, Aislu Bisenovna; Sadvakassov, Arman Ashatuly; Lamasheva, Zhanar Beibutovna; Kerimkhulle, Seyit Yesilbayuly; Abdrakhmanova, Alfiya Zagievna; Zhartybayeva, Makpal Galymbekovna; Oralkhanov, Berdibek Oralkhanuly (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    This article presents the proper organization of the supply chain to meet consumer demand, which is crucial for modern commercial enterprises involved in the sale of various products. Studies indicate that a company's ...
  • IMPROVING A SPRING LINER DESIGN FOR A CYLINDER PISTON GROUP 
    KORABAY, Rizabek; KUSHALIEV, Dauren; ZABIYEVA, Aliya; SAMENOV, Galymzhan; RADJIBAYEV, Davran (DIAGNOSTYKA, 2025)
    The engine is one of the most important and complex parts of the car. Most of the breakdowns occur in the piston group of the internal combustion engine, especially in the compression rings. This article presents a new ...
  • Improved unmanned aerial vehicle control for efficient obstacle detection and data protection 
    Moldamurat, Khuralay; Atanov, Sabyrzhan; Akhmetov, Kairat; Bakyt, Makhabbat; Belgibekov, Niyaz; Zhumabayeva, Assel; Shabayev, Yuriy (International Journal of Artificial Intelligence (IJ-AI), 2024)
    The article centers on the research objectives and tasks associated with developing a swarm control system for unmanned aerial vehicles (UAVs) utilizing artificial intelligence (AI). A comprehensive literature review ...
  • IDENTIFICATION OF THE LOW-RANK COALS THERMAL HEATING BEHAVIOR 
    Mergalimova, A.; Аtyaksheva, А.; Ybray, S.; Seitzhapparov, N. (Eastern-European Journal of Enterprise Technologies, 2024)
    In this study, the object of the research is low-rank coal during the process of thermal heating of five types: brown, high moisture brown, long-flame, coke weakly sintering and coke fusinite. In the research, when ...
  • IDENTIFICATION OF CHARACTERISTICS OF CONCEPTUAL PROTOTYPE OF MICROPROCESSOR RESOURCE-SAVING RELAY PROTECTION SYSTEM 
    Neftissov, A.; Kazambayev, I.; Kirichenko, L.; Urazayev, D.; Biloshchytskyi, A.; Abdirashev, O. (Eastern-European Journal of Enterprise Technologies, 2024)
    The object of the study is the conceptual prototype of a microprocessor resource-saving relay protection system. Currently, relay protection ensures electrical networks reliable and efficient work, however, the ...
  • Hyperledger Fabric-Based Post Quantum Cryptography for Healthcare Application Using Discrete Event Simulation 
    ZHUKABAYEVA, TAMARA; REHMAN, ATEEQ UR; TARIQ, NARGIS; BENKHELIFA, ELHADJ (IEEE Access, 2024)
    The centralized data sharing challenges in healthcare have spurred the adoption of distributed methods, including blockchain technology, to enhance security and privacy. This paper proposes a blockchain-based healthcare ...
  • Hydraulic Design and CFD-Based Parametric Study for Optimizing Centrifugal Pump Impeller Performance 
    Aliuly, Abdurashid; Amanzholov, Tangnur; Seitov, Abzal; Momysh, Nazerke; Jaichibekov, Nurbolat; Kaltayev, Aidarkhan (Applied Sciences, 2024)
    Centrifugal pumps are extensively utilized across various industries, including water supply, agriculture, and energy, where they consume significant amounts of electricity. As demands for energy efficiency and reduced ...
  • Hybrid Convolutional Recurrent Neural Network for Cyberbullying Detection on Textual Data 
    Baiganova, Altynzer; Toxanova, Saniya; Yerekesheva, Meruert; Nauryzova, Nurshat; Zhumagalieva, Zhanar; Tulendi, Aigerim ((IJACSA) International Journal of Advanced Computer Science and Applications, 2024)
    With the burgeoning use of social media platforms, online harassment and cyberbullying have become significant concerns. Traditional mechanisms often falter, necessitating advanced methodologies for efficient detection. ...
  • Human-machine interactions based on hand gesture recognition using deep learning methods 
    Zholshiyeva, Lazzat; Manbetova, Zhanat; Kaibassova, Dinara; Kassymova, Akmaral; Tashenova, Zhuldyz; Baizhumanov, Saduakas; Yerzhanova, Akbota; Aikhynbay, Kulaisha (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    Human interaction with computers and other machines is becoming an increasingly important and relevant topic in the modern world. Hand gesture recognition technology is an innovative approach to managing computers and ...
  • HOMOGENIZATION OF ATTRACTORS TO THE REACTION-DIFFUSION SYSTEM IN A DOMAIN WITH ROUGH BOUNDARY 
    Azhmoldaev, G.F.; Bekmaganbetov, K.A.; Chechkin, G.A.; Chepyzhov, V.V. (JMMCS, 2025)
    In this paper, we consider the homogenization problem in a micro inhomogeneous domain with a rapidly oscillating boundary. It is assumed that a system of nonlinear reaction–diffusion equations with rapidly oscillating ...
  • Homogenization of attractors to reaction–diffusion equations in domains with rapidly oscillating boundary: Critical case 
    Azhmoldaev, Gaziz F.; Bekmaganbetov, Kuanysh A.; Chechkin, Gregory A.; Chepyzhov, Vladimir V. (Networks and Heterogeneous Media, 2024)
    In the present paper, reaction–diffusion systems (RD-systems) with rapidly oscillating coefficients and righthand sides in equations and in boundary conditions were considered in domains with locally periodic oscillating ...
  • High-Temperature Methane Sensors Based on ZnGa2O4:Er Ceramics for Combustion Monitoring 
    Almaev, Aleksei V.; Karipbayev, Zhakyp T.; Kakimov, Askhat B.; Yakovlev, Nikita N.; Kukenov, Olzhas I.; Korchemagin, Alexandr O.; Akmetova-Abdik, Gulzhanat A.; Kumarbekov, Kuat K.; Zhunusbekov, Amangeldy M.; Mochalov, Leonid A.; Slapovskaya, Ekaterina A.; Korusenko, Petr M.; Koroleva, Aleksandra V.; Zhizhin, Evgeniy V.; Popov, Anatoli I. (Technologies, 2025)
    The use of CH4 as an energy source is increasing every day. To increase the efficiency of CH4 combustion and ensure that the equipment meets ecological requirements, it is necessary to measure the CH4 concentration in ...
  • Green Synthesis of Silver Nanoparticles Using Circaea lutetiana Ethanolic Extract: Phytochemical Profiling, Characterization, and Antimicrobial Evaluation 
    Iskakova, Zhanar; Kozhantayeva, Akmaral; Temirbekova, Aliya; Mukhtubayeva, Saule; Bissenova, Gulmira; Tekebayeva, Zhanar; Almagambetov, Kairtai; Tashenov, Yerbolat; Sarmurzina, Zinigul (International Journal of Molecular Sciences, 2025)
    In the current decade, the use of plant extracts for the green preparation of metal nanoparticles has garnered increasing attention due to their eco-friendliness, costeffectiveness, and sustainability. In the current ...
  • Generating images using generative adversarial networks based on text descriptions 
    Turarova, Marzhan; Bekbayeva, Roza; Abdykerimova, Lazzat; Aitimov, Murat; Bayegizova, Aigulim; Smailova, Ulmeken; Kassenova, Leila; Glazyrina, Natalya (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    Modern developments in the fields of natural language processing (NLP) and computer vision (CV) emphasize the increasing importance of generating images from text descriptions. The presented article analyzes and ...
  • Gene Expression Changes in the Spleen, Lungs, and Liver of Wistar Rats Exposed to β-Emitted 31SiO2 Particles 
    Fujimoto, Nariaki; Mukhanbetzhanov, Nurislam; Zhetkenev, Sanzhar; Chulenbayeva, Laura; Fazylov, Timur; Mukhortov, Mikhail; Sato, Hitoshi; Zhumadilov, Kassym; Stepanenko, Valeriy; Kaprin, Andrey; Ivanov, Sergey; Shegay, Peter; Hoshi, Masaharu; Kushugulova, Almagul (International Journal of Molecular Sciences, 2025)
    To understand the biological effects of residual radioactivity after the atomic bomb explosion in Hiroshima and Nagasaki, we previously investigated the effects of 56Mn, a major residual radioisotope. Our rat study ...

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