• Comprehensive Analysis of Blockchain Technology in the Healthcare Sector and Its Security Implications 

  Yelezhanova, Shynar; Seitenov, Altynbek; Kenzhegarina, Aizhan; Kenzhetayev, Amir; Kemel, Ayan; Ualiyev, Nurzhan; Myrzakerimova, Alua; Mursakimova, Gulzhan; Orynbek, Alibek; Sakhipov, Aivar (International Journal of E-Health and Medical Communications, 2024)

  Blockchain technology presents a promising solution for healthcare, addressing key challenges like data breaches, patient control, and interoperability. This paper analyzes blockchain applications in three areas: ...
• Comparative Analysis of the Infrastructure of the City of Astana with a Sociological Survey of the Mental Well-Being of Citizens in the Context of the Sustainable Development of the Urban Agglomeration 

  Saginov, Kairat; Berdenov, Zharas; Inkarova, Zhansulu; Kakimzhanov, Yersin; Mendybayev, Erbolat; Ramazanova, Nurgul; Assylbekov, Kalibek; Safarov, Ruslan; Fomin, Ivan (Sustainability, 2024)

  Rapid urbanization entails complex problems not only in cities, but also within urban agglomerations. In modern landscape science, the greatest problems are primarily related to the ecological state of urban ecosystems. ...
• Compactness of Commutators for Riesz Potential on Generalized Morrey Spaces 

  Bokayev, Nurzhan; Matin, Dauren; Akhazhanov, Talgat; Adilkhanov, Aidos (Mathematics, 2024)

  In this paper, we give the sufficient conditions for the compactness of sets in generalized Morrey spaces 𝑀𝑤⁡(·) 𝑝. This result is an analogue of the well-known Fréchet–Kolmogorov theorem on the compactness of a set ...
• Clustering based Medical Image Segmentation: A Study on MRI Scans of Brain Tumors 

  Mimenbayeva, Aigul B.; Aruova, Aliya A.; Bekmagambetova, Gulmira K.; Niyazova, Rozamgul S.; Turebayeva, Rakhila D.; Naizagarayeva, Akgul A.; Tursumbayeva, Ainur F. (Association for Computing Machinery, 2024)

  This study investigates the application of Hierarchical clustering for image segmentation, with a focus on its efficacy in analyzing medical images, particularly MRI scans of brain tumors. Image segmentation plays a ...
• Classification of pathologies on digital chest radiographs using machine learning methods 

  Aitimov, Murat; Shekerbek, Ainur; Pestunov, Igor; Bakanov, Galitdin; Ostayeva, Aiymkhan; Ziyatbekova, Gulzat; Mediyeva, Saule; Omarova, Gulmira (International Journal of Electrical and Computer Engineering (IJECE), 2024)

  This article is devoted to the research and development of methods for classifying pathologies on digital chest radiographs using two different machine learning approaches: the eXtreme gradient boosting (XGBoost) ...
• Calculation of the Main Parameters of the Two-Line Helical Traction Transmission of an Electric Locomotive Based on Diagnostic Parameters 

  Khromova, Galina; Radjibaev, Davran; Zabiyeva, Aliya; Kenesbek, Anuar; Mavlanov, Adham (Applied Sciences, 2025)

  Gearboxes used in electric locomotives are a critical unit, especially in freight rolling stock. The article presents the calculation of the main parameters of the two-way oblique traction transmission of the VL-80s ...
• Beyond Face Recognition: A Multi-Layered Approach to Academic Integrity in Online Exams 

  Sakhipov, Aivar; Omirzak, Islam; Fedenko, Alexey (Electronic Journal of e-Learning, 2025)

  Ensuring academic integrity in online assessments is crucial for upholding fairness and credibility, especially with the widespread adoption of remote learning. This research addresses key vulnerabilities in preventing ...
• Bearing Capacity of Precast Concrete Joint Micropile Foundations in Embedded Layers: Predictions from Dynamic and Static Load Tests according to ASTM Standards 

  Omarov, Abdulla; Sarsembayeva, Assel; Zhussupbekov, Askar; Nurgozhina, Malika; Tleulenova, Gulshat; Yeleussinova, Akmaral; Isakulov, Baizak (Infrastructures, 2024)

  In this paper, joint precast piles with a cross-section of 400 × 400 mm and a pin-joined connection were considered, and their interaction with the soil of Western Kazakhstan has been analyzed. The following methods were ...
• An Intrusion Detection System for Multiclass Classification Across Multiple Datasets in Industrial IoT Using Machine Learning and Neural Networks Integrated with Edge Computing 

  ZHUKABAYEVA, Tamara; AHMAD, Zulfiqar; KARABAYEV, Nurdaulet; BAUMURATOVA, Dilaram; ALI, Mushtaq (Data, Information and Computing Science, 2025)

  With the rapid expansion of industrial IoT (IIoT), maintaining robust cybersecurity is essential for the smooth operation of industrial processes. Industrial environments require adaptive solutions to effectively ...
• Issues of Increasing the Efficiency of Traffic Management on the Main Streets of Astana 

  ZHANDARBEKOVA, Assel; KURENKEYEVA, Dariyash; MURZABEKOVA, Kenzhegul; MUKHAMETZHANOVA, Aizhan; KALENOV, Galymzhan; TULENDIYEV, Yerlan; KUANYSHBEKOVA, Kundyz (Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems, 2024)

  Given the scarcity of funds in the city budget, the current way to improve the efficiency of traffic management is to coordinate traffic lights at a number of regulated intersections or pedestrian crossings, that ...
• The Use of Python, Owlready, Sparql in Processing the Words Ontological Model of Public Political Discourse 

  SAIRANBEKOVA, Ayaulym; BEKMANOVA, Gulmira; OMARBEKOVA, Assel; MUKANOVA, Assel; ZULKHAZHAV, Altanbek (Computer Systems and Communication Technology, 2024)

  The article describes a technology processing ontological model of words in public political discourse. The research task is developing an information question-answering system of political discourse in Kazakh language. ...
• A Systematic Literature Review of Current Trends in Electronic Voting System Protection Using Modern Cryptography 

  Aidynov, Tolegen; Goranin, Nikolaj; Satybaldina, Dina; Nurusheva, Assel (Applied Sciences, 2024)

  Electronic voting, based on cryptographic protocols and blockchain technology, represents an advanced method for ensuring the security, transparency, and reliability of electoral processes. The scientific research presented ...
• Assessment of the chemical resistance of concrete with an additive based on granite dust and acrylic latex 

  Lukpanov, R.; Altynbekova, A.; Yenkebaev, S.; Tsygulyov, D.; Orazova, D.; Omarov, Z.; Makashev, K. (Eastern-European Journal of Enterprise Technologies, 2025)

  The object of the study is the chemical resistance of concrete modified with granite dust and acrylic latex. The materials used in the study were concrete samples with a variable composition of additive components, ...
• ASSESSMENTOF THE BEARING CAPACITY OF VARIABLE PROFILE PILES IN SOIL USING STATIC LOAD MODEL TESTS ON A TESTING APPARATUS 

  Lukpanov, R.; Yenkebaev, S.; Zhantlessova, Z.; Dyussembinov, D.; Altynbekova, A.; Rahimov, R. (Eastern-European Journal of Enterprise Technologies, 2024)

  The paper presents the results of the study of the proposed type of variable profile piles. The proposed type of piles is reinforced concrete driven piles segmented in length. Each subsequent section has a radial ...
• Assessment of Common Reed (Phragmites australis (Cav.) Trin. ex Steud.) Biomass Suitability for Solid Biofuels Production 

  Ivanova, Tatiana Alexiou; Paramonova, Kseniia; Talipov, Olzhas; Tanyrbergenov, Nariman; Zhakupov, Talgat; Akayev, Aibek (Sustainability, 2024)

  From the uncontrolled proliferation of invasive plants, several challenges for the environment arise. Invasive wetland grasses biomass can be collected for biofuel production, thus offering a sustainable solution for ...
• Assessment for the Sustainable Development of Components of the Tourism and Recreational Potential of Rural Areas of the Aktobe Oblast of the Republic of Kazakhstan 

  Saparov, Kuat; Omirzakova, Miroslava; Yeginbayeva, Aigul; Sergeyeva, Aigul; Saginov, Kairat; Askarova, Gulnash (Sustainability, 2024)

  The assessment of sustainable tourism development in the rural areas of the Aktobe oblast of Kazakhstan involved thoroughly analyzing multiple dimensions. Environmental, socio-economic, and cultural sustainability aspects ...
• Assessment and Improvement of Avatar-Based Learning System: From Linguistic Structure Alignment to Sentiment-Driven Expressions 

  Ukenova, Aru; Bekmanova, Gulmira; Zaki, Nazar; Kikimbayev, Meiram; Altaibek, Mamyr (Sensors, 2025)

  This research investigates the improvement of learning systems that utilize avatars by shifting from elementary language compatibility to emotion-driven interactions. An assessment of various instructional approaches ...
• Assessment of The Impact of International Trade Intensity on Logistics Efficiency: A Case Study of The EAEU Countries 

  Raimbekov, Zhanarys; Syzdykbayeva, Bakyt; Rakhmetulina, Aigerim; Rakhmetulina, Zhibek; Kinasheva, Zhadyra (Journal of Logistics, Informatics and Service Science, 2024)

  Kazakhstan and the Eurasian Economic Union countries play an important role in international trade with those participating in the Chinese Silk Road Economic Belt Initiative (SREB), providing trade, transport, and ...
• Assessing risk factors for heart disease using machine learning methods 

  Maxutova, Natalya; Tussupov, Jamalbek; Kedelbayeva, Kamilya; Tynykulova, Assemgul; Balabayeva, Zulfiya; Yersultanova, Zauresh; Khamitova, Zhainagul; Zhunussova, Kamila (International Journal of Electrical and Computer Engineering (IJECE), 2024)

  This paper examines various machine learning methods for assessing risk factors for cardiovascular diseases. To build predictive models, two approaches were used: the extreme gradient boosting (XGBoost) algorithm and ...
• A Review of Industrial By-Product Utilization and Future Pathways of Circular Economy: Geopolymers as Modern Materials for Sustainable Building 

  Korniejenko, Kinga; Mikuła, Janusz; Brudny, Karolina; Aruova, Lyazat; Zhakanov, Alibek; Jexembayeva, Assel; Zhaksylykova, Lailya (Sustainability, 2025)

  In the era of increasing climatic requirements and changing approaches towards circular economy (CE), the demand for materials designed with care for the environment is growing. This idea is especially important in the ...

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