Отображаемые элементы 101-120 из 651

    • Increasing the Economic Efficiency of Mining Industry Enterprises in Terms of Digitalisation: Example of the East Kazakhstan Region 

      Ospanov, Zhandos; Dossanova, Saule; Tadjieva, Sayora; Maidyrova, Aigul (Management and Production Engineering Review, 2024)
      In the context of Kazakhstan’s economic digitalisation, increasing economic efficiency is a top priority. Digitalisation enhances enterprises’ financial stability and decision-making speed. This is particularly vital for mining enterprises, a key focus of the “Digital Kazakhstan” state program. This study aims to develop strategies to boost economic efficiency by analysing its ...
      2026-03-11
    • IMPROVING THE QUALITY OF EKIBASTUZ COAL USING THE DRY ENRICHMENT METHOD 

      Shaimerdenova, K.M.; Sakipov, K.E.; Abdirova, N.T.; Suleimenova, S.E. (Eurasian Physical Technical Journal, 2024)
      This paper discusses the possibility of improving the ekibastuz coal quality through the use of "dry enrichment" technology. The experiments and calculations carried out made it possible to determine the optimal scheme for enrichment of samples of thermal coals from the Ekibastuzsky open-pit mine of "Angrensor-Energo" LLP. Testing of technical characteristics, such as ...
      2026-03-11
    • 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 success is linked to the satisfaction of its customers. To optimize the supply chain, this study will consider the use of artificial neural network models. ...
      2026-03-11
    • 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 design for an innovative repair kit for transport equipment units. Article considers new principles and effects for reducing friction in vehicle units. The ...
      2026-03-11
    • 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 (IAES 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 was undertaken to assess the effectiveness of the "swarm" method in UAV management and identify key challenges in this domain. Swarm algorithms were ...
      2026-03-11
    • Impact of swift heavy ion-induced point defects on nanoscale thermal transport in ZnO 

      Abdullaev, Azat; Sekerbayev, Kairolla; Rymzhanov, Ruslan; Skuratov, Vladimir; Connell, Jacques O; Shukirgaliyev, Bekdaulet; Kozlovskiy, Artem; Wang, Yanwei; Utegulov, Zhandos (Materials Research Bulletin, 2024)
      Near-surface nanoscale thermal conductivity (k) variation of ion-irradiated single-crystalline ZnO was studied by time-domain thermoreflectance. ZnO was irradiated by 710 MeV Bi swift heavy ions (SHI) in the 1010–1013 ion/ cm2 fluence range to investigate the progression of radiation damage both from single ion impacts and ion path overlapping regimes. Structural characterization ...
      2026-03-11
    • Impact of dicarboxystilbene impurities on the properties of swift heavy ion latent tracks in PET films 

      Tuleushev, Adil Z.; Harrison, Fiona E.; Kozlovskiy, Artem L.; Zdorovets, Maxim V. (Optical Materials: X, 2024)
      We present a new hypothesis and supporting experimental evidence about the essential role played by small impurities of dicarboxystilbene in the process of UV treatment of PET films irradiated with swift heavy ions (SHI). This treatment both forms highly selective membranes with permeability values comparable to natural ones (the track-UV technique) and sharply accelerates ...
      2026-03-11
    • 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 conducting thermal and gas analysis in inert media, the problem of using low-rank coal in the thermal heating process to obtain volatile fuel gases was solved ...
      2026-03-11
    • 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 traditional architecture is proprietary, not allowing to fix and replace damaged parts without a company specialist. Therefore, the open-architecture relay ...
      2026-03-11
    • 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 system leveraging post-quantum cryptography (PQC) to secure sensitive patient data, stored on a permissioned blockchain. Discrete event simulation (DES) is ...
      2026-03-11
    • 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 Pavlodar regions. The research is based on the analysis of data from the meteorological base of the Republican State Enterprise (RSE) «Kazhydromet» for the ...
      2026-03-11
    • 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 operating costs increase, enhancing pump efficiency has become crucial. This study focuses on optimizing the pump impeller geometry, which plays a vital role in ...
      2026-03-11
    • 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 initial information. Since many real technological objects of oil refining and other industries are often characterized by a deficit and fuzziness of the ...
      2026-03-11
    • 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 electronic devices that allows users to interact with technology through gestures and hand movements. This article presents deep learning methods that ...
      2026-03-11
    • 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 of this study is to investigate the implementation of solar collectors as a means of harnessing the ample and unaltered solar radiation in Iran, specifically in ...
      2026-03-11
    • 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 (wavering) boundary. We proved a weak convergence of the trajectory attractors of the given systems to the trajectory attractors of the limit (homogenized) ...
      2026-03-11
    • 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 impact of shallow foundation pit location on existing slope stability. The regression function correlating the factor of safety with average horizontal strain ...
      2026-03-11
    • 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 of this complex scenario, the pursuit of an efficient treatment methodology assumes paramount importance. In response to this complex scenario, this study ...
      2026-03-11
    • 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 compares two key methods in this area: generative adversarial network with conditional latent semantic analysis (GAN-CLS) and ultra-long transformer network ...
      2026-03-11
    • 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, as well as the presence of exotic matter, are carefully investigated. In particular, the stability issue is addressed via an approach that has not been previously ...
      2026-03-11