Computer Science: Recent submissions

  • Hybrid Convolutional Recurrent Neural Network for Cyberbullying Detection on Textual Data 
    Baiganova, Altynzer; Toxanova, Saniya; Yerekesheva, Meruert; Nauryzova, Nurshat; Zhumagalieva, Zhanar; Tulendi, Aigerim (International Journal of Advanced Computer Science and Applications, 2024)
    With the burgeoning use of social media platforms, online harassment and cyberbullying have become significant concerns. Traditional mechanisms often falter, necessitating advanced methodologies for efficient detection. ...
  • 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, 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 ...
  • Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels 
    ARZYKULOV, SULTANGALI; NAURYZBAYEV, GALYMZHAN; HASHMI, MOHAMMAD S.; ELTAWIL, AHMED M.; RABIE, KHALED M. (IEEE Access, 2020)
    Internet-of-Things (IoT) technology has received much attention due to its great potential to interconnect billions of devices in a broad range of applications. IoT networks can provide high-quality services for a large ...
  • Global output tracking by state feedback for highorder nonlinear systems with time-varying delays 
    Alimhan, Keylan; Mamyrbayev, Orken; Erdenova, Aigerim; Akmetkalyeva, Almira (Cogent Engineering, 2020)
    This paper focuses on the problem of global practical output tracking for a class of high-order non-linear systems with time-varying delays (via state feedback). Under mild growth conditions on the system nonlinearities ...
  • 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, 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 ...
  • General Slow-Roll Inflation in f (R) Gravity under the Palatini Approach 
    Bekov, Sabit; Myrzakulov, Kairat; Myrzakulov, Ratbay; Gómez, Diego Sáez-Chillón (Symmetry, 2020)
    Slow-roll inflation is analyzed in the context of modified gravity within the Palatini formalism. As shown in the literature, inflation in this framework requires the presence of non-traceless matter; otherwise, it does ...
  • Fuzzy Logic and Its Application in the Assessment of Information Security Risk of Industrial Internet of Things 
    Kerimkhulle, Seyit; Dildebayeva, Zhulduz; Tokhmetov, Akylbek; Amirova, Akzhibek; Tussupov, Jamalbek; Makhazhanova, Ulzhan; Adalbek, Alibek; Taberkhan, Roman; Zakirova, Alma; Salykbayeva, Alua (Symmetry, 2023)
    This article addresses the issue of information security in the Industrial Internet of Things (IIoT) environment. Information security risk assessment in the IIoT is complicated by several factors: the complexity and ...
  • Fostering post-secondary vocational students’ critical thinking through multi-level tasks in learning environments 
    Bekbayeva, Zhanar Sabyrovna; Galiyev, Temir Tlekovich; Albytova, Nazymgul; Zhazykbayeva, Zhazira Meirhanovna; Mussatayeva, Assem Bolatbekovna (World Journal on Educational Technology: Current Issues, 2021)
    In today’s labour market, being competitive requires, in addition to technical skills, several twenty-first-century career competencies, including the capacity to think critically. Although the literature on teaching ...
  • Former Soviet Union middle class: how entrepreneurs are shaping a new stratum and pattern of socio-economic behavior 
    Otar, Elmira; Salikzhanov, Rinat; Akhmetova, Aigul; Issakhanova, Assel; Mukhambetova, Kuralay (Journal of Innovation and Entrepreneurship, 2024)
    The purpose of this study is to create a representative socio-economic profle of entrepreneurs operating in the former Soviet Union (FSU) states as a pillar of the new middle-class stratum. This study explored middle-class ...
  • Formation of professional competence for future social educators based on an integrated approach 
    Utegenova, Meruyert; Sholpankulova, Gulnar; Shavaliyeva, Zulfiya; Zhmailo, Tatyana; Yerepbayev, Nurlan (Journal of Education and e-Learning Research, 2023)
    The objective of this study is to assess the efficacy of a comprehensive strategy for developing the professional abilities of social educators. Additionally, it seeks to identify the problems encountered by high schools ...
  • For More Energy-Efficient Dual-Hop DF Relaying Power-Line Communication Systems 
    Rabie, Khaled M.; Adebisi, Bamidele; Tonello, Andrea M.; Nauryzbayev, Galymzhan (IEEE SYSTEMS JOURNAL, 2018)
    —Energy efficiency in multihop cooperative power-line communication (PLC) systems has recently received considerable attention in the literature. In order to make such systems more energy efficient, this paper proposes ...
  • 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, 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 ...
  • Features of the Propagation of Long Waves in Phononic Crystals, the Influence of the Concentration and Polydispersity of the Components 
    Baenova, Gulmira; Sukhinin, Sergey; Zhumadillayeva, Ainur; Dyussekeyev, Kanagat; Akhmetova, Zhanar; Zhunissov, Nurseit; Glazyrina, Natalya; Julamanova, Zaure (Applied Sciences, 2022)
    : The relevance of the research is determined by the need to simulate wave propagation in heterogeneous media based on phononic crystals. These studies are necessary for the tasks of flaw detection, the development of ...
  • Features of growth of agricultural crops and factors negatively affecting their growth 
    Yessenova, Moldir; Abdikerimova, Gulzira; Sadirmekova, Zhanna B.; Glazyrina, Natalya; Adikanova, Saltanat; Tanirbergenov, Adilbek; Mukhamedrakhimov, Karipola; Mukhamedrakhimova, Galiya (Indonesian Journal of Electrical Engineering and Computer Science, 2023)
    This article is about methods of analyzing aerial images. Images from Planet.com for crops in North Kazakhstan owned by the Center for Cereal Production and Research. A.I. Barayev. The main goal of the research work is ...
  • Fast Detection and Classification of Dangerous Urban Sounds Using Deep Learning 
    Momynkulov, Zeinel; Dosbayev, Zhandos; Suliman, Azizah; Abduraimova, Bayan; Smailov, Nurzhigit; Zhekambayeva, Maigul; Zhamangarin, Dusmat (Computers, Materials & Continua, 2023)
    Video analytics is an integral part of surveillance cameras. Compared to video analytics, audio analytics offers several benefits, including less expensive equipment and upkeep expenses. Additionally, the volume of the ...
  • Ex Situ Catalytic Pyrolysis of Invasive Pennisetum purpureum Grass with Activated Carbon for Upgrading Bio-Oil 
    Reza, Md Sumon; Afroze, Shammya; Kuterbekov, Kairat; Kabyshev, Asset; Bekmyrza, Kenzhebatyr Zh.; Taweekun, Juntakan; Ja’afar, Fairuzeta; Abu Bakar, Muhammad Saifullah; Azad, Abul K.; Roy, Hridoy; Islam, Md. Shahinoor (Sustainability, 2023)
    Energy demands keep increasing in this modern world as the world population increases, which leads to a reduction in fossil fuels. To resolve these challenges, Pennisetum purpureum, an invasive grass in Brunei Darussalam, ...
  • Exploring the Dynamics of Dark and Singular Solitons in Optical Fibers Using Extended Rational Sinh–Cosh and Sine–Cosine Methods 
    Muniyappan, Annamalai; Manikandan, Kannan; Saparbekova, Akbota; Serikbayev, Nurzhan (Symmetry, 2024)
    This investigation focuses on the construction of novel dark and singular soliton solutions for the Hirota equation, which models the propagation of ultrashort light pulses in optical fibers. Initially, we employ a wave ...
  • Experimental study of four-wave mixing based on a quantum dot semiconductor optical amplifier 
    Tokhmetov, Akylbek; Tussupov, Akhmet; Tanchenko, Liliya (International Journal of Electrical and Computer Engineering, 2023)
    The article is devoted to the study of four-wave mixing (FWM) in a semiconductor optical amplifier with quantum dots (QD-SOA). Experimental measurements of FWM signals are characterized in nonlinear media of GaAs-based ...
  • Evaluation of the Strength Characteristics of Silty-Clayey Soils during Freezing-Thawing Cycles 
    Bragar, Elena; Pronozin, Yakov; Zhussupbekov, Askar; Gerber, Alexander; Sarsembayeva, Assel; Muzdybayeva, Tymarkul; Sarabekova, Ulbossyn Zhangabilkyzy (Applied Sciences, 2022)
    Destructuring settlements due to frost heave during the structures’ exploitation are often not taken into account at the designing stage, although they are indirectly related to the bearing capacity of the soils. The ...
  • Evaluation of the Efficiency of Detection and Capture of Manganese in Aqueous Solutions of FeCeOx Nanocomposites Doped with Nb2O5 
    Kozlovskiy, Artem; Egizbek, Kamila; Zdorovets, Maxim V.; Ibragimova, Milana; Shumskaya, Alena; Rogachev, Alexandr A.; Ignatovich, Zhanna V.; Kadyrzhanov, Kayrat (Sensors, 2020)
    The main purpose of this work is to study the effectiveness of using FeCeOx nanocomposites doped with Nb2O5 for the purification of aqueous solutions from manganese. X-ray diffraction, energy–dispersive analysis, scanning ...

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