Computer Science: Недавние поступления

  • Preschool Education and its Impact on the Scientific and Research Potential of Rising Schoolchildr otential of Rising Schoolchildren: in F en: in Favor or Against? or or Against? 
    Mambetalina, Aliya; Karkulova, Aigul; Lebedeva, Marina; Sabirova, Lilya (Information Sciences Letters, 2023)
    This study examines the correlation between preschool education and the development of scientific thinking in rising schoolchildren. The research involved testing 84 first graders aged 6.5-8 years in two schools in ...
  • Preparation of preschool education specialists for innovative activities in preschool organisations 
    Zhiyenbayeva, Saira; Zhumabekova, Fatima; Kerimbayeva, Rysty; Salimbayeva, Sholpan; Taiteliyeva, Laura; Bulshekbayeva, Assem (World Journal on Educational Technology: Current Issues, 2022)
    The purpose of this research is to get the opinions of preschool teachers in order to prepare preschool teachers for innovative activities in preschool organisations. In this study, the in-depth interview technique, one ...
  • Predicting Used-Vehicle Resale Value in Developing Markets: Application of Machine Learning Models to the Kazakhstan Car Market 
    Barlybayev, Alibek; Sankibayev, Arman; Kadyr, Yenglik; Amangeldy, Nurzada; Sabyrov, Talgat (Ingénierie des Systèmes d’Information, 2023)
    The burgeoning trade in used vehicles has necessitated further research into price prediction. In developing nations, the abundance of second-hand cars and limited supply of new ones has led to a preference for used ...
  • Polarity Effect of Stainless-Steel and Copper Electrode Materials for the Purification of Slaughterhouse Wastewater 
    Saspugayeva, Gulnur; Tussupova, Zhazgul; Daribay, Ainur; Khussainov, Mansur; Bekturova, Assemgul; Koblanova, Saule; Dakieva, Kulzipa; Garmashova, Svetlana; Tungushbaeva, Zukhra; Timoth, Mkilima (Sustainability, 2022)
    Although electrochemical methods are one of the most efficient approaches for treating wastewater, the type of wastewater to be treated, the type of electrode material employed, and the polarity direction all significantly ...
  • Personal protective equipment detection using YOLOv8 architecture on object detection benchmark datasets: a comparative study 
    Barlybayev, Alibek; Amangeldy, Nurzada; Kurmetbek, Bekbolat; Krak, Iurii; Razakhova, Bibigul; Tursynova, Nazira; Turebayeva, Rakhila (Cogent Engineering, 2024)
    Over the past decade, global industrial and construction growth has underscored the importance of safety. Yet, accidents continue, often with dire outcomes, despite numerous safetyfocused initiatives. Addressing this, this ...
  • Performance of a Combined Treatment Approach on the Elimination of Microbes from Poultry Slaughterhouse Wastewater 
    Meiramkulova, Kulyash; Temirbekova, Aliya; Saspugayeva, Gulnur; Kydyrbekova, Assel; Devrishov, Davud; Tulegenova, Zhanar; Aubakirova, Karlygash; Kovalchuk, Nataliya; Meirbekov, Abdilda; Mkilima, Timoth (Sustainability, 2021)
    The efficiency of microbial inactivation in water is highly dependent on the type of treatment technology used as well as the characteristics of the water to be treated. Wastewater from poultry slaughterhouses carries a ...
  • Output Tracking Control for High-Order Nonlinear Systems with Time Delay via Output Feedback Design 
    Alimhan, Keylan; Mamyrbayev, Orken J.; Abdenova, Gaukhar A.; Akmetkalyeva, Almira (Symmetry, 2021)
    Design approach of an output feedback tracking controller is proposed for a class of highorder nonlinear systems with time delay. To deal with the time delays, an appropriate Lyapunov– Krasovskii the tracking analysis is ...
  • ORGANIZATION OF ONLINE LEARNING USING THE INTELLIGENT METASYSTEM OF OPEN SEMANTIC TECHNOLOGY FOR INTELLIGENT SYSTEMS 
    Kintonova, A.,; Sabitov, A.,; Povkhan, I.,; Khaimulina, D.,; Gabdreshov, G. (Eastern-European Journal of Enterprise Technologies, 2023)
    Distance learning today allows you to create a system of mass continuous selflearning, universal exchange of information, regardless of the presence of time and space zones. For more effective online learning, it ...
  • Optimization of computer ontologies for e-courses in information and communication technologies 
    Sabitova, Nazym; Tikhonov, Yuriy; Lakhno, Valerii; Makulov, Kariyrbek; Kryvoruchko, Olena; Chubaievskyi, Vitalyi; Desiatko, Alona; Zhumadilova, Mereke (JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2024)
    A methodology is proposed for modifying computer ontologies (CO) for electronic courses (EC) in the field of information and communication technologies (ICT) for universities, schools, extracurricular institutions, as ...
  • Ontology engineering of automatic text processing methods 
    Sadirmekova, Zhanna; Tussupov, Jamalbek; Murzakhmetov, Aslanbek; Zhidekulova, Gulkiz; Tungatarova, Aigul; Tulenbayev, Murat; Akhmetzhanova, Shynar; Altynbekova, Zhanar; Borankulova, Gauhar (International Journal of Electrical and Computer Engineering, 2023)
    Currently, ontologies are recognized as the most effective means of formalizing and systematizing knowledge and data in scientific subject area (SSA). Practice has shown that using ontology design patterns is effective ...
  • ON THE BOUNDEDNESS OF A GENERALIZED FRACTIONAL-MAXIMAL OPERATOR IN LORENTZ SPACES 
    Abek, А.N.; Turgumbayev, M.Zh.; Suleimenova, Z.R. (JMMCS, 2023)
    In this paper considers a generalized fractional-maximal operator, a special case of which is the classical fractional-maximal function. Conditions for the function Φ, which defines a generalized fractional-maximal ...
  • 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 ...

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