Отображаемые элементы 941-960 из 5785

    • Energy, exergy and thermo-economics analyses of hybrid solar, steam turbine and biomass gasification system for hydrogen production by polymer membrane electrolyzer 

      Kuterbekov, Kairat; Kabyshev, Asset; Bekmyrza, Kenzhebatyr; Kubenova, Marzhan (International Journal of Thermofluids, 2024)
      This study presents an evaluation of the energy exergy and thermo-economics of a hybrid power generation system that simultaneously produces power, heat, and hydrogen using solar and biomass energy. The system employs a polymer membrane electrolyzer for hydrogen production, with heat exchangers utilized to attain the desired water temperature instead of conventional heaters. ...
      2026-03-11
    • Energy conditions in f( Q, Lm) gravity 

      Myrzakulov, Y.; Donmez, O.; Koussour, M.; Muminov, S.; Ostemir, D.; Rayimbaev, J. (Eurasian Physical Journal C, 2025)
      We are experiencing a golden age of experimental cosmology, with exact and accurate observations being used to constrain various gravitational theories like never before. Alongside these advancements, energy conditions play a crucial theoretical role in evaluating and refining new proposals in gravitational physics. We investigate the energy conditions (WEC, NEC, DEC, and ...
      2026-03-11
    • EFFECTS OF GEOGRID AND NON-WOVEN GEOTEXTILES ON THE SHEAR BEHAVIOR OF SOIL 

      Tulebekova, Assel; Kusbergenova, Zhanar; Dosmukhambetova, Balganym; Bakirova, Dana; Tleulenova, Gulshat; Zhumadilov, Iliyas (International Journal of GEOMATE, 2024)
      Geosynthetic reinforcement plays a significant role in construction projects by stabilizing and enhancing the bearing capacity of soil. However, the complex interactions between soil and geosynthetic materials are open for investigation. This study aims to elucidate interactions by examining the effects of various geosynthetic materials, specifically nonwoven geotextile and ...
      2026-03-11
    • Effect of decoupling parameters on maximum allowable mass of anisotropic stellar structure constructed by mass constraint approach in f( Q)-gravity 

      Maurya, S. K.; Aziz, Abdul; Singh, Ksh. Newton; Das, Amit; Myrzakulov, Kairat; Ray, Saibal (Eurasian Physical Journal C, 2024)
      In the present article anisotropic solutions with vanishing complexity in the framework of f (Q) gravity are generated. At first, the field equations in f (Q)-gravity are gravitationally decoupled where the isotropic fluid component corresponds to Vlasenko–Pronin space-time. Then, with a new source, the complete geometric deformation is supplemented to an isotropic component, ...
      2026-03-11
    • Effective detection of breast pathology using machine learning methods 

      Orazayeva, Ainur; Tussupov, Jamalbek; Shangytbayeva, Gulmira; Galymova, Assem; Zhunissova, Ulzhalgas; Tergeussizova, Aliya; Tleubayeva, Arailym; Kenzhebayeva, Zhanat (International Journal of Electrical and Computer Engineering (IJECE), 2024)
      This work is devoted to the research and development of methods for effectively identifying breast pathologies using modern machine learning technologies, such as you only look once (YOLOv8) and faster region-based convolutional neural network (R-CNN). The paper presents an analysis of existing approaches to the diagnosis of breast diseases and an assessment of their ...
      2026-03-11
    • Designing and Planning of Studies of Driver Behavior at Pedestrian Crossings Using Whole-Vehicle Simulators 

      Burdzik, Rafał; Siminski, 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 problem contexts. The problems identified were the identification of hazards and the risk of accidents involving vulnerable road users. The purpose of this ...
      2026-03-10
    • Designing and Improving the Efficiency of Placement of Logistics Infrastructure for Storage, Distribution and Trade of Agri-Food Products 

      Raimbekov, Zhanarys; Syzdykbayeva, Bakyt; Rakhmetulina, Aigerim; Rakhmetulina, Zhibek; Abylaikhanova, Tana; Doltes, Lyubov; Kinasheva, Zhadyra (Journal of Industrial Engineering and Management, 2024)
      Purpose: The article considers a methodological approach to the formation and determination of potential locations of logistics infrastructure: warehouse storage facilities, wholesale distribution centers for storage, marketing and trade of agro-food products. Design/methodology/approach: A study of 204 objects - administrative districts and cities of Kazakhstan, where the ...
      2026-03-10
    • Design and construction of wastewater treatment facilities for small sewerage facilities 

      Kolpakova, Valentina; Yeremeyeva, Yuliya; Anapyanova, Samal; Shevtsov, Michael; Utepbergenova, Laura; Abdukalikova, Gulnara; Abduova, Aisulu; Sarypbekova, Nursulu; Shakhmov, Zhanbolat (Case Studies in Chemical and Environmental Engineering, 2024)
      The study investigated the effectiveness of clarification of domestic wastewater of small sewerage facilities in the suspended bed of activated sludge. The research was conducted in semi-production and production conditions on the example of a small sewerage facility of East Kazakhstan region with discharge into the river Yertis. The purpose of the study is to develop an ...
      2026-03-10
    • Deep neural networks for removing clouds and nebulae from satellite images 

      Glazyrina, Natalya; Muratkhan, Raikhan; Eslyamov, Serik; Murzabekova, Gulden; Aziyeva, Nurgul; Rysbekkyzy, Bakhytgul; Orynbayeva, Ainur; Baktiyarova, Nazira (International Journal of Electrical and Computer Engineering (IJECE), 2024)
      This research paper delves into contemporary methodologies for eradicating clouds and nebulae from space images utilizing advanced deep learning technologies such as conditional generative adversarial networks (conditional GAN), cyclic generative adversarial networks (CycleGAN), and spaceattention generative adversarial networks (space-attention GAN). Cloud cover presents ...
      2026-03-10
    • Decentralized Machine Learning Framework for the Internet of Things: Enhancing Security, Privacy, and Efficiency in Cloud-Integrated Environments 

      Gonçalves, José Gelson; Ayub, Muhammad Shoaib; Zhumadillayeva, Ainur; Dyussekeyev, Kanagat; Ayimbay, Sunggat; Saadi, Muhammad; Rosa, Renata Lopes; Rodríguez, Demóstenes Zegarra (Electronics, 2024)
      The Internet of things (IoT) presents unique challenges for the deployment of machine learning (ML) models, particularly due to constraints on computational resources, the necessity for decentralized processing, and concerns regarding security and privacy in interconnected environments such as the Internet of cloud. In this paper, a novel decentralized ML framework is proposed for ...
      2026-03-10
    • 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 (IJECE), 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 in automation and improved image processing, the authors focus on the key operating principles of each model, analyzing their unique characteristics and ...
      2026-03-10
    • Dark energy and dark matter configurations for wormholes and solitionic hierarchies of nonmetric Ricci flows and F(R, T, Q, Tm) gravity 

      Bubuianu, Laurentiu; Vacaru, Sergiu I.; Veliev, Elsen Veli; Zhamysheva, Assel (Eurasian Physical Journal C, 2024)
      We extend the anholonomic frame and connection deformation method, AFCDM, for constructing exact and parametric solutions in general relativity, GR, to geometric flow models and modified gravity theories, MGTs, with nontrivial torsion and nonmetricity fields. Following abstract geometric or variational methods, we can derive corresponding systems of nonmetric gravitational and ...
      2026-03-10
    • Cybersecurity Framework for IoT-Integrated Electric Power Information Systems 

      Orken, M.; Abdumauvlenovna, B. D.; Tursynkanovna, Z. A.; Mekebayev, N.; Serikov, T.; Zhazira, S.; Aizat, K. (International Journal of Industrial Engineering and Management, 2025)
      The integration of Internet of Things (IoT) devices in electric power information systems has introduced unprecedented cybersecurity challenges. This study develops and evaluates a comprehensive cybersecurity framework tailored for IoT-integrated power grids, addressing the unique vulnerabilities and complexities of these critical systems. A multi-layered security approach ...
      2026-03-10
    • Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions 

      Zhukabayeva, Tamara; Zholshiyeva, Lazzat; Karabayev, Nurdaulet; Khan, Shafiullah; Alnazzawi, Noha (Sensors, 2025)
      This paper provides the complete details of current challenges and solutions in the cybersecurity of cyber-physical systems (CPS) within the context of the IIoT and its integration with edge computing (IIoT–edge computing). We systematically collected and analyzed the relevant literature from the past five years, applying a rigorous methodology to identify key sources. Our ...
      2026-03-10
    • Creating a Parallel Corpus for the Kazakh Sign Language and Learning 

      Yerimbetova, Aigerim; Sakenov, Bakzhan; Sambetbayeva, Madina; Daiyrbayeva, Elmira; Berzhanova, Ulmeken; Othman, Mohamed (Applied Sciences, 2025)
      Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. This study analyzes the syntactic structure of KSL, identifying its unique grammatical features and deviations from spoken Kazakh. ...
      2026-03-10
    • Cosmological constraints on time-varying cosmological terms: A study of FLRW universe models with Λ(t)CDM cosmology 

      Koussour, M.; Myrzakulov, N.; Rayimbaev, J. (Advances in Space Research, 2024)
      This paper explores models of the FLRW universe that incorporate a time-varying cosmological term . Specifically, we assume a power-law form for the cosmological term as a function of the scale factor: , where represents the present value of the cosmological term. Then, we derive an exact solution to Einstein's field equations within the framework of CDM cosmology and determine ...
      2026-03-10
    • Control and Analysis of Layered Soil Structure to Ensure Railway Roadbed Stability 

      Bykov, Artem; Surzhik, Dmitry; Kassenova, Leila; Abzhanova, Ainagul; Svirina, Anastasia; Imanzhanova, Kulbarchin (Applied Sciences, 2024)
      This article discusses a method for analyzing the layered structure of soil using the phasemetric method of geoelectric monitoring to ensure the reliability of a railway track. The importance of monitoring soil layers for timely detection of changes that may affect the stability and safety of railway tracks is emphasized. The use of geophysical monitoring methods, such as phase ...
      2026-03-10
    • CONSTRUCTION OF A FUZZY MODEL FOR MANAGING THE PROCESS OF FORMING IT-COMPETENCES 

      Iklassova, K.; Aitymova, A.; Kopnova, O.; Sarzhanova, A.; Abildinova, G.; Kushumbayev, A.; Aitymov, Z. (Eastern-European Journal of Enterprise Technologies, 2024)
      The relevance of this study is predetermined by the lack of models and algorithms for managing the formation of IT competencies in children of senior preschool age in the information and educational environment of a preschool organization. The object of the study is the process of managing the formation of IT competencies in children of senior preschool age. The problem ...
      2026-03-10
    • Constructing stellar solutions with spherical symmetry through quadratic anisotropy in f( Q) gravity 

      Kumar, R.; Maurya, S. K.; Errehymy, A.; Jaiswal, A.; Myrzakulov, K.; Sharma, S. (Eurasian Physical Journal C, 2025)
      This article examines anisotropic models to characterize compact stars (CSs) in the context of modified f (Q) gravity theory. To achieve this, we employ the linear functional form f (Q) = αQ + β. A physically meaningful metric potential grr is considered, and a quadratic form of anisotropy is utilized to solve the Einstein field equations in closed form. This class of solutions ...
      2026-03-10
    • Computational Strategy for Analyzing Effective Properties of Random Composites—Part I: Conductivity 

      Mityushev, Vladimir; Dryga´s, Piotr; Gluzman, Simon; Nauryzbayev, Nurlan; Nurtazina, Karlygash (Applied Sciences, 2025)
      The notion of “randomness” in the mathematical theory of composites has typically been used abstractly within measure theory, making practical applications difficult. In contrast, engineering sciences often discuss randomness too loosely, lacking a theoretical foundation. This paper aims to bridge the gap between theory and applications, focusing on the effective properties ...
      2026-03-10