01. Публикации в изданиях зарубежных стран: Недавние поступления

  • 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 ...
  • Hydroecological assessment of the Kazakh part of the Yertis River under conditions of industrial development 
    Kolpakova, Valentina; Yeremeyeva, Yuliya; Anapyanova, Samal; Mamyrbekova, Gulnaz; Nurekenova, Roza; Utepbergenova, Laura; Shakhmov, Zhanbolat; Aniskin, Aleksej (Results in Engineering, 2024)
    This article analyzes the impact of climate in the conditions of industrial development on the flow and ecological condition of the Kazakhstan part of the river Yertis on the territory of East Kazakhstan (EKR), Abay and ...
  • 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 Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency 
    Orazbayev, Batyr; Kuzhuhanova, Zhadra; Orazbayeva, Kulman; Uskenbayeva, Gulzhan; Abdugulova, Zhanat; Zhumadillayeva, Ainur (Energies, 2025)
    This work is devoted to the study and solution of the problems of modeling complex objects on the example of the atmospheric block of the primary oil refining unit, associated with the deficit and fuzziness of the necessary ...
  • 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 ...
  • How can solar panels collectors enhance energy efficiency? Utilization of the novel optimization techniques 
    Kuterbekov, Kairat A.; Kabyshev, Asset M.; Bekmyrza, Kenzhebatyr Zh.; Kubenova, Marzhan M.; Ayalew, Abebe T. (International Journal of Low-Carbon Technologies, 2024)
    Solar energy, which is widely acknowledged for its economic feasibility and sustainable nature, functions as a critical substitute for finite fossil fuels, effectively alleviating ecological consequences. The purpose ...
  • 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 ...
  • HORIZONTAL STRAIN - SLOPE STABILITY CORRELATION CONSIDERING THE EFFECT OF SHALLOW EXCAVATION NEAR THE SLOPE TOE 
    Pham, Duc Tiep; Tran, Nam Hung; Cao, Van Hoa; Zhairbaeva, Gulnaz (International Journal of GEOMATE, 2024)
    The stability of a soil slope, as initially estimated by design calculations, may be adversely impacted by construction activities near the slope toe, such as excavating foundation pits. This study aims to evaluate the ...
  • Harnessing graphene oxide-enhanced composite metal-organic frameworks for efficient wastewater treatment 
    Mkilima, Timoth; Zharkenov, Yerkebulan; Utepbergenova, Laura; Abduova, Aisulu; Sarypbekova, Nursulu; Smagulova, Elmira; Abdukalikova, Gulnara; Kamidulla, Fazylov; Zhumadilov, Iliyas (Water Cycle, 2024)
    The issue of carwash wastewater emerges as a pressing environmental concern on a global scale, primarily due to the intricate nature of its pollutants, which makes effective treatment a formidable challenge. In the face ...
  • 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 ...
  • Generalized uncertainty principle corrections in Rastall–Rainbow Casimir wormholes 
    Battista, Emmanuele; Capozziello, Salvatore; Errehymy, Abdelghani (Eurasian Physical Journal C, 2024)
    We explore wormhole solutions sourced by Casimir energy density involving generalized uncertainty principle corrections within the framework of Rastall– Rainbow gravity. The questions of traversability and stability, ...
  • Galton–Watson Theta-Processes in a Varying Environment 
    Sagitov, Serik; Zhumayev, Yerakhmet (Stochastics and Quality Control, 2024)
    We consider a special class of Galton–Watson theta-processes in a varying environment fully defined by four parameters, with two of them (θ, r) being fixed over time n, and the other two (an , cn) characterizing the ...
  • Fuzzy controller system utilization to increase the hydrogen production bioreactor capacity: toward sustainability and low carbon technology 
    Kuterbekov, Kairat A.; Bekmyrza, Kenzhebatyr Zh.; Kabyshev, Asset M.; Kubenova, Marzhan M.; Shokatian-Beiragh, Mehrdad (International Journal of Low-Carbon Technologies, 2024)
    The utilization of bio-hydrogen as a fuel source holds immense promise as a renewable energy option, offering compelling economic and environmental advantages. This study investigates the economic and environmental ...
  • Forecasting stock market prices using deep learning methods 
    Ismailova, Aisulu; Beldeubayeva, Zhanar; Kadirkulov, Kuanysh; Doumcharieva, Zhanagul; Konyrkhanova, Assem; Ussipbekova, Dinara; Aripbayeva, Ainura; Yesmukhanova, Dariga (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    The article focuses on enhancing stock market price prediction through artificial neural networks and machine learning. It underscores the significance of improving forecast accuracy by incorporating historical stock ...
  • Forecasting creditworthiness in credit scoring using machine learning methods 
    Mukhanova, Ayagoz; Baitemirov, Madiyar; Amirov, Azamat; Tassuov, Bolat; Makhatova, Valentina; Kaipova, Assemgul; Makhazhanova, Ulzhan; Ospanova, Tleugaisha (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    This article provides an overview of modern machine learning methods in the context of their active use in credit scoring, with particular attention to the following algorithms: light gradient boosting machine ...
  • Fire detection using deep learning methods 
    Bayegizova, Aigulim; Abdikerimova, Gulzira; Kaliyeva, Samal; Shaikhanova, Aigul; Shangytbayeva, Gulmira; Sugurova, Laura; Sugur, Zharkynay; Saimanova, Zagira (International Journal of Electrical and Computer Engineering (IJECE), 2024)
    Fire detection is an important task in the field of safety and emergency prevention. In recent years, deep learning methods have shown high efficiency in solving various computer vision problems, including detecting ...
  • Exploring the synergistic effect of recycled glass fibres and agricultural waste ash on concrete strength and environmental sustainability 
    Mkilima, Timoth; Sabitov, Yerlan; Shakhmov, Zhanbolat; Abilmazhenov, Talgat; Tlegenov, Askar; Jumabayev, Atogali; Turashev, Agzhaik; Kaliyeva, Zhanar (Cleaner Engineering and Technology, 2024)
    In today’s age, finding harmony between construction endeavors and safeguarding the environment is of utmost importance. Consequently, there is a substantial requirement to explore the feasibility of utilizing waste ...
  • Exploring the potential of biofunctionalized agricultural waste adsorbents integrated with UV-LED disinfection for enhanced wastewater treatment 
    Mkilima, Timoth; Sabitov, Yerlan; Shakhmov, Zhanbolat; Abilmazhenov, Talgat; Tlegenov, Askar; Jumabayev, Atogali; Turashev, Agzhaik; Kaliyeva, Zhanar; Utepbergenova, Laura (Case Studies in Chemical and Environmental Engineering, 2024)
    Agricultural waste holds promise as an adsorbent in wastewater treatment; however, its potential remains understudied, particularly regarding biofunctionalized grape pomace, coffee husks, and corn cobs for carwash ...

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