Computer Science: Recent submissions

  • On one integrable cosmological model of the flat universe in k-essence 
    Myrzakulov, K.R.; Kenzhalin, D.Zh.; Myrzakul, T.R. (International Journal of Mathematics and Physics, 2021)
    The study of the origin and evolution of our Universe is one of the interesting and actual directions in modern physics and astrophysics. This paper considers the cosmological model of the Universe in the Einstein's ...
  • On the Performance Analysis of WPT-Based Dual-Hop AF Relaying Networks in α-µ Fading 
    NAURYZBAYEV, GALYMZHAN; RABIE, KHALED M.; ABDALLAH, MOHAMED; ADEBISI, BAMIDELE (IEEE Access, 2018)
    In this paper, a two-hop amplify-and-forward relaying system, where an energy-constrained relay node entirely depends on the energy scavenged from the source signal, is investigated. This paper analyzes the performance ...
  • OBTAINING A FORMULA DESCRIBING THE INTERACTION OF FINE PARTICLES WITH AN EXPANDING GAS FLOW IN A FLUID LAYER 
    Alpeissov, Y.; Iskakov, R.; Issenov, S.; Ukenova, А. (Eastern-European Journal of Enterprise Technologies, 2022)
    The interaction of fine particles with an expanding gas flow under fluidization conditions is considered. The objects of study are finely dispersed materials, their single particles, gas flow in a fluidized layer. The ...
  • Observational Constraints on F(T , TG) Gravity with Hubble’s Parametrization 
    Shekh, Salim Harun; Myrzakulov, Nurgissa; Pradhan, Anirudh; Mussatayeva, Assem (Symmetry, 2023)
    Any new gravitational theories can be built with the help of a gauge theory with local Poincare symmetry. This local Poincare symmetry can set up a space-time with torsion. In the present study, the authors working on ...
  • Noisy image enhancements using deep learning techniques 
    Daurenbekov, Kuanysh; Aitimova, Ulzada; Dauitbayeva, Aigul; Sankibayev, Arman; Tulegenova, Elmira; Yerzhan, Assel; Yerzhanova, Akbota; Mukhamedrakhimova, Galiya (International Journal of Electrical and Computer Engineering, 2024)
    This article explores the application of deep learning techniques to improve the accuracy of feature enhancements in noisy images. A multitasking convolutional neural network (CNN) learning model architecture has ...
  • New Generation Mobile Networks and Their Application in Electronic Learning 
    Omirzak, Islam; Razumova, Yuliya; Nikishina, Svetlana (International journal on information management, 2021)
    The present article aims at examining the promising capabilities of new generation mobile networks for the implementation of first-class online education based on advanced immersive technologies. The study describes ...
  • Network Attack Detection Using NeuroEvolution of Augmenting Topologies (NEAT) Algorithm 
    Zhukabayeva, Tamara; Adamova, Aigul; Ven-Tsen, Khu; Nurlan, Zhanserik; Mardenov, Yerik; Karabayev, Nurdaulet (INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION, 2024)
    The imperfection of existing intrusion detection methods and the changing nature of malicious actions on the attacker's part led to the Internet of Things (IoT) network interaction in an unsafe state. The actual problem ...
  • Nanoparticles Based on Silver Chloride and Bambusuril[6] for the Fine-Tuning of Biological Activity 
    Turebayeva, Pana; Luchsheva, Venera; Fedorishin, Dmitriy; Yerkassov, Rakhmetulla; Bakibaev, Abdigali; Bolysbekova, Saltanat; Tugambayeva, Tokzhan; Sergazina, Samal; Nurmukhanbetova, Nurgul (International Journal of Molecular Sciences, 2023)
    The prevalence of numerous infectious diseases has emerged as a grave concern within the realm of healthcare. Currently, the issue of antibiotic resistance is compelling scientists to explore novel treatment approaches. ...
  • Morphology and Microstructure Evolution of Gold Nanostructures in the Limited Volume Porous Matrices 
    Yakimchuk, Dzmitry V.; Bundyukova, Victoria D.; Ustarroz, Jon; Terryn, Herman; Baert, Kitty; Kozlovskiy, Artem L.; Zdorovets, Maxim V.; Khubezhov, Soslan A.; Trukhanov, Alex V.; Trukhanov, Sergei V.; Panina, Larissa V.; Arzumanyan, Grigory M.; Mamatkulov, Kahramon Z.; Tishkevich, Daria I.; Kaniukov, Egor Y.; Sivakov, Vladimir (Sensors, 2020)
    The modern development of nanotechnology requires the discovery of simple approaches that ensure the controlled formation of functional nanostructures with a predetermined morphology. One of the simplest approaches is ...
  • Monitoring and Forecasting of Water Pollution by Heavy Metals 
    ZHARTYBAYEVA, MAKPAL; MUNTAYEV, NURZHAN; TULEGENOVA, SYMBAT; ORALBEKOVA, ZHANAR; LAMASHEVA, ZHANAR; ISKAKOV, KAZIZAT (IEEE Access, 2022)
    As a result of anthropogenic impact, significant changes occur in the morphometric, hydrological, chemical and other characteristics of water bodies, which in turn leads to changes in the structure, productivity and ...
  • MODIFICATION OF THE ONTOLOGY USING THE TEACHER’S PERSONAL MATERIALS TO INCREASE THE DEGREE OF AUTOMATION OF EC PREPARATION 
    Sabitova, N.,; Tikhonov, Y.,; Lakhno, V.,; Nyazova, R.,; Razakhova, B.,; Zholdasova, S.,; Ospanova, T.,; Taimuratova, L. (Eastern-European Journal of Enterprise Technologies, 2023)
    The object of the research is the technology of constructing a computer ontology (CO) for electronic textbooks of the subject area (KSA). As an example, the industry is consideredinformation and communication technologies ...
  • Modern Problems of Face Recognition Systems and Ways of Solving Them 
    Maulenov, Kalybek; Kudubayeva, Saule; Razakhova, Bibigul (Revue d'Intelligence Artificielle, 2023)
    Currently, the face recognition system is applied in various fields such as classified materials, file transferring, and general human interaction and innovative technologies, including cell phones with owner recognition ...
  • Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions 
    Zhumadillayeva, Ainur; Orazbayev, Batyr; Santeyeva, Saya; Dyussekeyev, Kanagat; Man Li, Rita Yi; Crabbe, M. James C.; Yue, Xiao-Guang (Information, 2020)
    This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste ...
  • Modeling and simulation of heat exchanger with strong dependence of oil viscosity on temperature 
    Kurmanova, Dinara E.; Jaichibekov, Nurbolat Zh. (SCIENTIFIC AND TECHNICAL JOURNAL OF INFORMATION TECHNOLOGIES, MECHANICS AND OPTICS, 2023)
    Heating of oil and oil products is widely used to reduce energy losses during transportation. The flow in the annular space of the heat exchanger is complex and depends on many factors. The use of thin tubes in helicoid-type ...
  • Mobile Blogging as A Mean to Improve Journalism Education 
    Rozhkov, Alexandr; Bulatova, Madina; Noda, Larissa (International journal on information management, 2020)
    On the basis of new experimental data, the present paper was aimed at analyzing the effectiveness of training journalism students through the use of blogs. This study included a field survey, during which the impressions of ...
  • Metric-Affine Myrzakulov Gravity Theories 
    Myrzakulov, Nurgissa; Myrzakulov, Ratbay; Ravera, Lucrezia (Symmetry, 2021)
    In this paper, we review the so-called Myrzakulov Gravity models (MG-N, with N = I, II, . . . , VIII) and derive their respective metric-affine generalizations (MAMG-N), discussing also their particular sub-cases. The ...
  • Methods of Fuzzy Multi-Criteria Decision Making for Controlling the Operating Modes of the Stabilization Column of the Primary Oil-Refining Unit 
    Orazbayev, Batyr; Ospanov, Yerbol; Makhatova, Valentina; Salybek, Lazzat; Abdugulova, Zhanat; Kulmagambetova, Zhumazhan; Suleimenova, Salamat; Orazbayeva, Kulman (Mathematics, 2023)
    Many technological systems are characterized by fuzzy initial information, necessary for the development of their models, optimization and control of operating modes. Therefore, the purpose of this study is to formulate ...
  • Methods for secure cloud processing of big data 
    Seitkulov, Yerzhan N.; Boranbayev, Seilkhan N.; Ulyukova, Gulden B.; Yergaliyeva, Banu B.; Satybaldina, Dina (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    We study new methods of secure cloud processing of big data when solving applied computationally-complex problems with secret parameters. This is one of the topical issues of secure client-server communication. As part ...
  • Methods for Developing Models in a Fuzzy Environment of Reactor and Hydrotreating Furnace of a Catalytic Reforming Unit 
    Orazbayev, Batyr; Zhumadillayeva, Ainur; Orazbayeva, Kulman; Kurmangaziyeva, Lyailya; Dyussekeyev, Kanagat; Iskakova, Sandugash (Applied Sciences, 2021)
    Methods for the development of fuzzy and linguistic models of technological objects, which are characterized by the fuzzy output parameters and linguistic values of the input and output parameters of the object are ...
  • Methodology for International Transport Corridor Macro-Modeling Using Petri Nets at the Early Stages of Corridor Development with Limited Input Data 
    Kabashkin, Igor; Sansyzbayeva, Zura (Modelling, 2024)
    International transport corridors (ITCs) are intricate logistical networks essential for global trade flows. The effective modeling of these corridors provides invaluable insights into optimizing the transport system. ...

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