Computer Science: Recent submissions

  • Evaluation of pre-service teachers’ digital skills and ICT competencies in context of the demands of the 21st century 
    Niyazova, Aigul Y.; Chistyakov, Alexey A.; Volosova, Nonna Y.; Krokhina, Julia A.; Sokolova, Natalia L.; Chirkina, Svetlana E. (Online Journal of Communication and Media Technologies, 2023)
    21st century has seen the emergence of digital skills as a crucial ability with profound effects on employment, education, and social relationships, among other facets of life. The best talents to teach are the subject ...
  • Ethanol production from cassava peels using Saccharomyces cerevisiae via ethanologenic fermentation process 
    Sokan-Adeaga, Adewale Allen; Ana, Godson R.E.E.; Olorunnisola, Abel Olajide; Sokan-Adeaga, Micheal Ayodeji; Roy, Hridoy; Reza, Md Sumon; Shahinoor Islam, Md. (Arab Gulf Journal of Scientific Research, 2023)
    Purpose – This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent. Design/methodology/approach – The milled ...
  • Environmental Hazards of the Railway Infrastructure of Kazakhstan 
    Ashimova, Balgyn; Beisenova, Raikhan; Menéndez-Pidal, Ignacio; Jumabayev, Serik; Zhupysheva, Aktoty; Tazitdinova, Rumiya (Sustainability, 2023)
    The railway sector is the largest branch of the economy in Kazakhstan. Nevertheless, environmental safety issues and the reduction and prevention of harmful impacts are not given sufficient attention. There is very little ...
  • Enhancing LAN Failure Predictions with Decision Trees and SVMs: Methodology and Implementation 
    Rzayeva, Leila; Myrzatay, Ali; Abitova, Gulnara; Sarinova, Assiya; Kulniyazova, Korlan; Saoud, Bilal; Shayea, Ibraheem (Electronics, 2023)
    Predicting Local Area Network (LAN) equipment failure is of utmost importance to ensure the uninterrupted operation of modern communication networks. This study explores the use of machine learning algorithms to enhance ...
  • Enhancing Fault Detection in Wireless Sensor Networks Through Support Vector Machines: A Comprehensive Study 
    Mardenov, Yerik; Adamova, Aigul; Zhukabayeva, Tamara; Othman, Mohamed (Journal of Robotics and Control, 2023)
    The Wireless Sensor Network (WSN) consists of many sensors that are distributed in a specific area for the purpose of monitoring physical conditions. Factors such as hardware limitations, limited resources, unfavourable ...
  • Enhancing cryptographic protection, authentication, and authorization in cellular networks: a comprehensive research study 
    Moldamurat, Khuralay; Seitkulov, Yerzhan; Atanov, Sabyrzhan; Bakyt, Makhabbat; Yergaliyeva, Banu (International Journal of Electrical and Computer Engineering, 2024)
    This research article provides an extensive analysis of novel methods of cryptographic protection as well as advancements in authentication and authorization techniques within cellular networks. The aim is to explore recent ...
  • Emotional Speech Recognition Method Based on Word Transcription 
    Bekmanova, Gulmira; Yergesh, Banu; Sharipbay, Altynbek; Mukanova, Assel (Sensors, 2022)
    The emotional speech recognition method presented in this article was applied to recognize the emotions of students during online exams in distance learning due to COVID-19. The purpose of this method is to recognize ...
  • Effects of Radioactive 56MnO2 Particle Inhalation on Mouse Lungs: A Comparison between C57BL and BALB/c 
    Abishev, Zhaslan; Ruslanova, Bakhyt; Apbassova, Saulesh; Shabdarbayeva, Dariya; Chaizhunussova, Nailya; Dyusupov, Altai; Azhimkhanov, Almas; Zhumadilov, Kassym; Stepanenko, Valeriy; Ivanov, Sergey; Shegay, Peter; Kaprin, Andrey; Hoshi, Masaharu; Fujimoto, Nariaki (International Journal of Molecular Sciences, 2023)
    The effects of residual radiation from atomic bombs have been considered to be minimal because of its low levels of external radioactivity. However, studies involving atomic bomb survivors exposed to only residual radiation ...
  • Effects of ‘Digital’ Country’s Information Security on Political Stability 
    Nguyen, Tuan Anh; Koblandin, Kalybek; Suleymanova, Shukran; Volokh, Vladimir (Journal of Cyber Security and Mobility, 2022)
    In this day and age, information security is becoming a priority not only in the system of international economic relations but also at the state level. This study aims to study the effect of a 'digital' country's information ...
  • Dynamics of Embankment Slope Stability under Combination of Operating Water Levels and Drawdown Conditions 
    Utepov, Yelbek Bakhitovich; Aldungarova, Aliya Kairatovna; Mkilima, Timoth; Pidal, Ignacio Menéndez; Tulebekova, Assel Serikovna; Zharassov, Shyngys Zharassovich; Abisheva, Assem Kairatovna (Infrastructures, 2022)
    This study investigated the potential influence of operating water levels and loading conditions on the slope stability of an embankment dam. Four different operating reservoir levels (normal, reduced, embankment height, ...
  • DEVELOPMENT OF CONTROL SOFTWARE FOR SELFORGANIZING INTELLIGENT MOBILE ROBOTS 
    Toibazarov, D.; Baiseitov, G.; Kyzyrkanov, A.; Aljawarneh, S.; Atanov, S. (Eastern-European Journal of Enterprise Technologies, 2023)
    Maintaining a specific geometric formation during the movement is crucial for multiagent systems of mobile robots in various applications. Proper coordination can lead to reduced system costs, increased reliability and ...
  • Development of a Unified Geotechnical Database and Data Processing on the Example of Nur-Sultan City 
    Zhussupbekov, Askar; Alibekova, Nurgul; Akhazhanov, Sungat; Sarsembayeva, Assel (Applied Sciences, 2021)
    Development of a geotechnical database for the young capital of Kazakhstan, Nur-Sultan city, became a paramount concern of both the scientific community and industry. The creation of the Kazakhstan model of the geotechnical ...
  • DEVELOPMENT OF AN INTELLIGENT SYSTEM AUTOMATING MANAGERIAL DECISION-MAKING USING BIG DATA 
    Akishev, K.,; Tulegulov, A.,; Kalkenov, A.,; Aryngazin, K.,; Nurtai, Z.,; Yergaliyev, D.,; Yergesh, M.,; Jumagaliyeva, A. (Eastern-European Journal of Enterprise Technologies, 2023)
    The object of the study is the automotive industry of the Republic of Kazakhstan. The subject of the study is the management of the decisionmaking process in assessing the consumer capabilities of potential customers ...
  • Development of an intelligent information resource model based on modern natural language processing methods 
    Sadirmekova, Zhanna; Sambetbayeva, Madina; Serikbayeva, Sandugash; Borankulova, Gauhar; Yerimbetova, Aigerim; Murzakhmetov, Aslanbek (International Journal of Electrical and Computer Engineering, 2023)
    Currently, there is an avalanche-like increase in the need for automatic text processing, respectively, new effective methods and tools for processing texts in natural language are emerging. Although these methods, tools ...
  • Development of an Artificial Vision for a Parallel Manipulator Using Machine‑to‑Machine Technologies 
    Nussibaliyeva, Arailym; Sergazin, Gani; Tursunbayeva, Gulzhamal; Uzbekbayev, Arman; Zhetenbayev, Nursultan; Nurgizat, Yerkebulan; Bakhtiyar, Balzhan; Orazaliyeva, Sandugash; Yussupova, Saltanat (Sensors, 2024)
    This research focuses on developing an artificial vision system for a flexible delta robot ma‑ nipulator and integrating it with machine‑to‑machine (M2M) communication to optimize real‑time device interaction. This ...
  • DEVELOPMENT OF A MODEL AND TECHNOLOGY OF ACCESS TO DOCUMENTS IN SCIENTIFIC AND EDUCATIONAL ACTIVITIES 
    Serikbayeva, S.; Tussupov, J.; Sambetbayeva, M.; Yerimbetova, A.; Sadirmekova, Z.; Tungatarova, A.; Batyrkhanov, A.; Zakirova, A. (Eastern-European Journal of Enterprise Technologies, 2021)
    The paper deals with general issues of organizing access to electronic documents in the framework of scientific and educational activities. Large volumes of already existing information, its continuous growth, the ...
  • DEVELOPMENT OF A METHOD FOR STUDYING GAS IMBALANCE IN THE SECTION OF THE MAIN GAS PIPELINE OF KAZAKHSTAN 
    Orazbayev, B.; Zinagabdenova, D.; Abilgazy, N.; Kurmangaziyeva, L.; Ievlanov, M. (Eastern-European Journal of Enterprise Technologies, 2020)
    The existing models, methods, and technologies for managing the gas transmission system of the Republic of Kazakhstan have significantly become outdated. Therefore, during the operation of the gas transmission system, the ...
  • DEVELOPMENT OF A LAYER LEVELING TECHNOLOGY THAT REDUCES THE ENERGY INTENSITY OF THE PROCESSES OF MIXING AND DRYING THE FODDER MASS 
    Abilzhanuly, T.; Iskakov, R.,; Issenov, S.; Kubentaeva, G.; Mamirbaeva, I.; Abilzhanov, D.; Khaimuldinova, A.; Khamitov, N. (Eastern-European Journal of Enterprise Technologies, 2023)
    The object of the study is to determine the required power leveling device grinder-mixer-dryer. When operating equipment that combines grinding, mixing and drying in one device, there are such problems as energy ...
  • Development of a Framework for Classification of Impulsive Urban Sounds using BiLSTM Network 
    Katayev, Nazbek; Altayeva, Aigerim; Abduraimova, Bayan; Kurmanbekkyzy, Nurgul; Madibaiuly, Zhumabay; Kulambayev, Bakhytzhan (International Journal of Advanced Computer Science and Applications, 2023)
    Urban environments are awash with myriad sounds, among which impulsive noises stand distinct due to their brief and often disruptive nature. As cities evolve and expand, the accurate classification and management of ...
  • DEVELOPMENT NEURO-FUZZY MODEL TO PREDICT THE STOCKS OF COMPANIES IN THE ELECTRIC VEHICLE INDUSTRY 
    Barlybayev, A.; Zhetkenbay, L; Kaimov, D.; Yergesh, B. (Eastern-European Journal of Enterprise Technologies, 2023)
    Adaptive neuro-fuzzy inference system (ANFIS) it is a type of neural network that combines the strengths of both fuzzy logic and artificial neural networks. ANFIS is particularly useful in stock trading because it can ...

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