01. Публикации в изданиях зарубежных стран: Недавние поступления
Отображаемые элементы 461-480 из 5785
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Environmental Sustainability and Carbon Footprint of Tourism: A Study of a Natural Park in Northeastern Kazakhstan
(Sustainability, 2025)This study aims to assess the environmental sustainability and carbon footprint of tourism in Bayanaul State National Park (Kazakhstan) using the GSTC criteria and the Protocol on Greenhouse Gas Emissions. As part of the work, surveys and interviews were conducted with representatives of the tourism industry, administration officials and environmental organizations to analyze ...2026-03-19 -
Enhancing Visual Data Security: A Novel FSM-Based Image Encryption and Decryption Methodology
(Applied Sciences, 2024)The paper presents a comprehensive exploration of a novel image encryption and decryption methodology, leveraging finite state machines (FSM) for the secure transformation of visual data. The study meticulously evaluates the effectiveness of the proposed encryption algorithm using a diverse image dataset. The encryption algorithm demonstrates high proficiency in obfuscating ...2026-03-19 -
Enhancing Real Estate Valuation in Kazakhstan: Integrating Machine Learning and Adaptive Neuro-Fuzzy Inference System for Improved Precision
(Applied Sciences, 2024)The concept of fair value, defined by the valuation of assets and liabilities at their current market worth, remains central to the International Financial Reporting Standards (IFRS) and has persisted despite critiques intensified by the 2008 financial crisis. This valuation method continues to be prevalent under both IFRS and the US Generally Accepted Accounting Principles ...2026-03-19 -
Enhancing internet of things security against structured query language injection and brute force attacks through federated learning
(International Journal of Electrical and Computer Engineering (IJECE), 2025)The internet of things (IoT) encompasses various devices for monitoring, data collection, tracking people and assets, and interacting with other gadgets without human intervention. Implementing a system for predicting the development and assessing the criticality of detected attacks is essential for ensuring security in IoT interactions. This work analyses existing methods ...2026-03-19 -
Enhancing cryptographic protection, authentication, and authorization in cellular networks: a comprehensive research study
(International Journal of Electrical and Computer Engineering (IJECE), 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 literature and identify effective authentication and authorization methods, including high-speed data encryption. The significance of this study ...2026-03-19 -
Development of an Ankle Exoskeleton: Design, Modeling, and Testing
(Sensors, 2025)This research presents the results of conceptual design and modeling of an exoskeleton. It is intended for ankle joint rehabilitation in patients with musculoskeletal disorders. The exoskeleton design includes three screw actuators that smoothly control motion in the planes of dorsal and plantar flexion, inversion, and eversion. The results of the virtual tests performed on ...2026-03-18 -
Development of an algorithm for identifying the autism spectrum based on features using deep learning methods
(International Journal of Electrical and Computer Engineering (IJECE), 2024)The presented scientific work describes the results of the development and evaluation of two deep learning algorithms: long short-term memory with a convolutional neural network (LSTM+CNN) and long short-term memory with an autoencoder (LSTM+AE), designed for the diagnosis of autism spectrum disorders. The study focuses on the use of eye tracking technology to collect ...2026-03-18 -
Development of a Model for Soil Salinity Segmentation Based on Remote Sensing Data and Climate Parameters
(Algorithms, 2025)The paper presents a hybrid machine learning model for the spatial segmentation of soils by salinity using multispectral satellite data from Sentinel-2 and climate parameters of the ERA5-Land model. The proposed method aims to solve the problem of accurate soil cover segmentation under climate change and high spatial heterogeneity of data. The approach includes the sequential ...2026-03-18 -
Development of a Flexible Information Security Risk Model Using Machine Learning Methods and Ontologies
(Applied Sciences, 2024)This paper presents a significant advancement in information security risk assessment by introducing a flexible and comprehensive model. The research integrates established standards, expert knowledge, machine learning, and ontological modeling to create a multifaceted approach for understanding and managing information security risks. The combination of standards and ...2026-03-18 -
Development of a Discrete Algorithm for Interpreting Ground-Penetrating Radar Data in Vertically Heterogeneous Media
(Applied Sciences, 2025)This study presents the development of a discrete algorithm for interpreting groundpenetrating radar (GPR) data in vertically inhomogeneous media for the diagnostics of road structures. Experimental data were obtained using an OKO-2 GPR system, followed by primary radargram processing using the CartScan software. This included noise and interference filtering, as well as the ...2026-03-18 -
Development of a decision-making module in the field of real estate rental using machine learning methods
(International Journal of Electrical and Computer Engineering (IJECE), 2024)The research is aimed at developing a prototype of a decision support information system for managers of a company operating in the real estate rental industry. The system provides tools for data analysis, the use of mathematical models and expert knowledge to solve complex problems. The work analyzes the practical aspects of the design and use of decision support systems ...2026-03-18 -
Development of Deep Learning Models for Traffic Sign Recognition in Autonomous Vehicles
(International Journal of Advanced Computer Science and Applications, 2024)This research paper investigates the development of deep learning models for traffic sign recognition in autonomous vehicles. Leveraging convolutional neural networks (CNNs), the study explores various architectural configurations and evaluation methodologies to assess the efficacy of CNNs in accurately identifying and classifying traffic signs. Through a systematic ...2026-03-18 -
Development of a Knowledge Graph-Based Model for Recommending MOOCs to Supplement University Educational Programs in Line With Employer Requirements
(IEEE Access, 2024)The modern labor market demands that educational institutions prepare specialists capable of effectively responding to rapidly changing professional standards and technologies. In this regard, the use of innovative approaches to adapt educational programs has become a key factor. This study is dedicated to developing a methodology for using heterogeneous knowledge graphs to ...2026-03-18 -
Determination of variation of compositions of (1-х)ZnO-0.25Al2 O3 -0.25WO3 -хBi2 O3 glass-like ceramics on protective characteristics in gamma radiation shielding
(International Journal of Mathematics and Physics, 2024)The work is devoted to the study of the effect of variation of the ratio of oxides in the composition of (1-х)ZnO-0.25Al2 O3 -0.25WO3 -хBi2 O3 glass-like ceramics on shielding characteristics when employed as materials to mitigate the adverse effects of gamma radiation with different energy. The primary incentive behind these investigations is to discover novel ...2026-03-18 -
Comprehensive Analysis of Blockchain Technology in the Healthcare Sector and Its Security Implications
(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: electronic health records, pharmaceutical supply chain traceability, and clinical trials. The authors explore security concerns, regulatory compliance, and smart ...2026-03-18 -
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
(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. In this context, the most important task of urbanism is the interdisciplinary study of urban infrastructure in relation to the well-being of inhabitants, with ...2026-03-18 -
Compactness of Commutators for Riesz Potential on Generalized Morrey Spaces
(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 in Lebesgue spaces 𝐿𝑝,𝑝 >0. As an application, we prove the compactness of the commutator of the Riesz potential [𝑏,𝐼𝛼] in generalized Morrey spaces, where ...2026-03-18 -
Clustering based Medical Image Segmentation: A Study on MRI Scans of Brain Tumors
(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 pivotal role in computer vision, facilitating various applications across industries. Leveraging a systematic approach, we conduct a comprehensive review of ...2026-03-18 -
Classification of pathologies on digital chest radiographs using machine learning methods
(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) algorithm and the deep convolutional neural network residual network (ResNet50). The goal of the study is to develop effective and accurate methods for ...2026-03-18 -
Calculation of the Main Parameters of the Two-Line Helical Traction Transmission of an Electric Locomotive Based on Diagnostic Parameters
(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 electric locomotive (which is operated on the railways of Uzbekistan) based on a comprehensive analysis of the diagnostic parameters obtained using the Poisson ...2026-03-18