Computer Science: Recent submissions

  • Detection of lung pathology using the fractal method 
    Abdikerimova, Gulzira; Shekerbek, Ainur; Tulenbayev, Murat; Sultanova, Bakhyt; Beglerova, Svetlana; Dzhaulybaeva, Elvira; Zhumakanova, Kamshat; Rysbekkyzy, Bakhytgul (International Journal of Electrical and Computer Engineering, 2023)
    Currently, the detection of pathology of lung cavities and their digitalization is one of the urgent problems of the healthcare industry in Kazakhstan. In this paper, the method of fractal analysis was considered to solve ...
  • Detection of heart pathology using deep learning methods 
    Naizagarayeva, Akgul; Abdikerimova, Gulzira; Shaikhanova, Aigul; Glazyrina, Natalya; Bekmagambetova, Gulmira; Mutovina, Natalya; Yerzhan, Assel; Tanirbergenov, Adilbek (International Journal of Electrical and Computer Engineering, 2023)
    In the directions of modern medicine, a new area of processing and analysis of visual data is actively developing - a radio municipality - a computer technology that allows you to deeply analyze medical images, such ...
  • Detection of chest pathologies using autocorrelation functions 
    Abdikerimova, Gulzira; Shekerbek, Ainur; Tulenbayev, Murat; Beglerova, Svetlana; Zakharevich, Elena; Bekmagambetova, Gulmira; Manbetova, Zhanat; Baibulova, Makbal (International Journal of Electrical and Computer Engineering, 2023)
    An important feature of image analysis is texture, seen in all images, from aerial and satellite images to microscopic images in biomedical research. A chest X-ray is the most common and effective method for diagnosing ...
  • Design Thinking as an Auxiliary Tool for Educational Robotics Classes 
    Tramonti, Michela; Dochshanov, Alden Meirzhanovich; Zhumabayeva, Assel Sagnayevna (Applied Sciences, 2023)
    The dynamic spread of 3D printing technologies and open-source electronics prototyping platforms has significantly enriched the diversity of instruments used within educational robotics (ER) settings. An active, ...
  • Design of an Educational Platform for Professional Development of Teachers with Elements of Blockchain Technology 
    Sakhipov, Aivar; Baidildinov, Talgat; Yermaganbetova, Madina; Ualiyev, Nurzhan (International Journal of Advanced Computer Science and Applications, 2023)
    This paper presents an in-depth examination of the development and implementation of an innovative platform for teacher professional development, incorporating features of blockchain technology. The platform manifests ...
  • Designing and Planning of Studies of Driver Behavior at Pedestrian Crossings Using Whole-Vehicle Simulators 
    Burdzik, Rafał; Simi´nski, 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 ...
  • Delving into Earth Dam Dynamics: Exploring the Impact of Inner Impervious Core and Toe Drain Arrangement on Seepage and Factor of Safety during Rapid Drawdown Scenarios 
    Utepov, Yelbek Bakhitovich; Mkilima, Timoth; Aldungarova, Aliya Kairatovna; Shakhmov, Zhanbolat Anuarbekovich; Akhazhanov, Sungat Berkinovich; Saktaganova, Nargul Amanovna; Abdikerova, Uliya Baktybaevna; Budikova, Aigul Moldashevna (Infrastructures, 2023)
    The study examined the intricate relationships between embankment slope configurations, toe drain designs, and drawdown scenarios. It utilized a unique combination of numerical, physical, and mathematical models. The ...
  • DEFORMATION FEATURES OF TRUNK PIPELINES WITH COMPOSITE LININGS UNDER STATIC LOADS 
    Moldagaliyev, A.; Zhangabay, N.; Suleimenov, U.; Avramov, K.; Raimberdiyev, T.,; Chernobryvko, M.; Umbitaliyev, A.; Jumabayev, A.; Yeshimbetov, S. (Eastern-European Journal of Enterprise Technologies, 2023)
    This paper considers the deformation process of a typical section of a steel trunk pipeline with a defective zone, strengthened with a carbon fiber composite lining, under the influence of stationary internal pressure. ...
  • Deep Neural Network for Detecting Fake Profiles in Social Networks 
    Amankeldin, Daniyal; Kurmangaziyeva, Lyailya; Mailybayeva, Ayman; Glazyrina, Natalya; Zhumadillayeva, Ainur; Karasheva, Nurzhamal (Computer Systems Science and Engineering, 2023)
    This paper proposes a deep neural network (DNN) approach for detecting fake profiles in social networks. The DNN model is trained on a large dataset of real and fake profiles and is designed to learn complex features and ...
  • Deep learning based static hand gesture recognition 
    Satybaldina, Dina; Kalymova, Gulzia (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    Hand gesture recognition becomes a popular topic of deep learning and provides many application fields for bridging the human-computer barrier and has a positive impact on our daily life. The primary idea of our project ...
  • 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, 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 ...
  • Cybersecurity Risk Assessments within Critical Infrastructure Social Networks 
    Aktayeva, Alimbubi; Makatov, Yerkhan; Kubigenova, Akku Tulegenovna; Dautov, Aibek; Niyazova, Rozamgul; Zhamankarin, Maxud; Khan, Sergey (Data, 2023)
    Cybersecurity social networking is a new scientific and engineering discipline that was interdisciplinary in its early days, but is now transdisciplinary. The issues of reviewing and analyzing of principal tasks related ...
  • Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning 
    Sultan, Daniyar; Toktarova, Aigerim; Zhumadillayeva, Ainur; Aldeshov, Sapargali; Mussiraliyeva, Shynar; Beissenova, Gulbakhram; Tursynbayev, Abay; Baenova, Gulmira; Imanbayeva, Aigul (Computers, Materials & Continua, 2023)
    Communication in society had developed within cultural and geographical boundaries prior to the invention of digital technology. The latest advancements in communication technology have significantly surpassed the ...
  • Control of Telecommunication Network Parameters under Conditions of Uncertainty of the Impact of Destabilizing Factors 
    Kozlovskyi, Valerii; Shvets, Ivan; Lysetskyi, Yurii; Karpinski, Mikolaj; Shaikhanova, Aigul; Shangytbayeva, Gulmira (Information, 2024)
    The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications ...
  • Controlling Matter-Wave Smooth Positons in Bose–Einstein Condensates 
    Manikandan, Kannan; Serikbayev, Nurzhan; Vijayasree, Shunmuganathan P.; Aravinthan, Devarasu (Symmetry, 2023)
    In this investigation, we explore the existence and intriguing features of matter-wave smooth positons in a non-autonomous one-dimensional Bose–Einstein condensate (BEC) system with attractive interatomic interactions. ...
  • Continuous Sign Language Recognition and Its Translation into Intonation-Colored Speech 
    Amangeldy, Nurzada; Ukenova, Aru; Bekmanova, Gulmira; Razakhova, Bibigul; Milosz, Marek; Kudubayeva, Saule (Sensors, 2023)
    This article is devoted to solving the problem of converting sign language into a consistent text with intonation markup for subsequent voice synthesis of sign phrases by speech with intonation. The paper proposes an ...
  • Construction of a Model and Development of an Algorithm for Solving the Wave Problem under Pulsed Loading 
    Khabdolda, Bolat; Zhuzbayev; Sabitova, Diana; Aitkenova, Ailazzat A; Serikbayeva, Sandugash; Badekova, Karakoz Zh; Yerzhanova, Akbota Y (International Journal of Advanced Computer Science and Applications, 2021)
    The article considers approaches and methods for modeling the wave process resulting from blasting operations. The analysis of modeling methods has shown that in the context of the task it is advisable to conduct a study ...
  • CONCURRENTLY CONTROLLED GRAMMARS 
    Mavlankulov, Gairatzhan; Othman, Mohamed; Turaev, Sherzod; Selamat, Mohd Hasan; Zhumabayeva, Laula; Zhukabayeva, Tamara (KYBERNETIKA, 2018)
    This paper introduces a new variant of Petri net controlled grammars, namely a concurrently controlled grammar, where the control over the application of the productions of a grammar is realized by a Petri net with ...
  • Conceptual Model for Automatic Proofreading of Technical Documents 
    Ixebayeva, Zhanna S.; Jetpisov, Kabylda; Medeshova, Aigul B.; Kassymova, Akmaral Kh. (Revue d'Intelligence Artificielle, 2023)
    This study deals with a set of issues related to the development of a conceptual model for automatic proofreading of technical documentation. The purpose of this study is to investigate the prospects for creating the ...
  • Computational thinking assessment at primary school in the context of learning programming 
    Mukasheva, Manargul; Omirzakova, Aisara (World Journal on Educational Technology: Current Issues, 2021)
    The study was carried out from 2018 to 2020 with the challenge - how to assess the level of computational thinking. The research design is mixed since the disclosure of mutual influence of the components of the chain ...

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