OAK jurnallaridan yig‘ilgan 104809 ta ilmiy maqola: sarlavha, mualliflar, annotatsiya, kalit so‘zlar, DOI va tayyor iqtibos formatlari.
This article presents a comparative analysis of the organizational and economic mechanisms for human resource development in the civil service, based on international experience and Uzbekistan’s national context. The…
This article analyzes the impact of the Federal Republic of Germany's migration policy on the practical implementation of the national interests of the Republic of Uzbekistan. Through a comprehensive analysis of…
The article examined the role of state policy in reducing poverty and ensuring youth employment in the context of modern globalization. The study analyzed the effectiveness of investing in human capital, education and…
This article presents a statistical analysis of the distribution of income indicators of the population of the Namangan region. The distribution of population income and the degree of social stratification were studied…
This article analyzes the level of socio-economic development of the regions of Uzbekistan using key statistical indicators. During the research, indicators such as gross regional product, share of economically active…
This article explores how the Digital Silk Road agenda aligns with Uzbekistan’s national digital transformation efforts. It focuses on telecom infrastructure upgrades, territorial inclusion, and expanding digital…
The article analyzes human participation in the economic system in terms of its functional role and institutional position in the reproductive process, including female human capital. The proposed phase-by-phase…
The purpose of this study is to examine the theoretical, scientific, and practical foundations of human capital management in improving the socioeconomic and innovative development of a region. This paper examines the…
The article describes the factors affecting the efficiency indicators in the education system, organizational and economic issues encountered in increasing efficiency, financing issues, problems and their significance…
This study provides a systematic and comprehensive analysis of demographic development in Azerbaijan, with a particular focus on identifying the key structural determinants shaping demographic processes. Drawing on…
Stable demographic development and the balanced territorial distribution of labor resources are important factors for economic growth and social stability. This study analyzes the interrelationship between demographic…
This article examines the impact of globalization, digitalization, and technological advancements on economic inequality in the context of labor market transformation. It analyzes the mechanisms and factors shaping…
Maternal mortality in Uzbekistan remains marked by substantial regional heterogeneity: differences between the capital region and several peripheral areas reach three- to fourfold levels, highlighting the need for more…
This article proposes an IoT-based automatic system for smart homes that is designed for early fire detection and prevention. The system is built on an Arduino Uno platform and continuously monitors the environment…
This article analyzes the role of Big Data technologies and Data Mining methods in modern medicine, emphasizing their importance in diagnostics, treatment, disease prediction, and medical data management. It also…
The growing volume of big data in modern information technologies necessitates the development of efficient parallel algorithms in cloud computing environments. Existing systems such as Hadoop and Spark face challenges…
Trade discounts are among the fastest-acting profit levers available to a distributor of fast-moving consumer goods (FMCG). A distributor typically receives a limited discount budget from the manufacturer and must…
Pathological changes in optical coherence tomography (OCT) B-scan images complicate the automatic detection of retinal layer boundaries. This study proposes a sequential anatomical surface detection algorithm for…
This article investigates the identification of factors influencing the prediction of urbanization levels, using the Samarkand region as a case study. The study analyzed 131 indicators (spanning 2000–2024) encompassing…
This paper presents a comprehensive review of existing methods and approaches for Sound Event Detection (SED) in environmental acoustic monitoring. The theoretical foundations of SED, acoustic feature extraction…
Phishing remains one of the most persistent cybersecurity threats, and URLs are often the earliest observable indicator of an attack. Although existing phishing URL detection methods achieve high accuracy using lexical…
Cardiovascular diseases are one of the leading causes of death worldwide, and their early detection is one of the urgent tasks of modern medicine. In recent years, machine learning algorithms have been widely used to…
This article analyzes the medical diagnosis process from a data perspective and describes an approach to formally representing a mixed-type feature space describing a patient's condition. The formation of medical data…
In a multi-agent information environment, facts are stored in local repositories maintained by individual agents. As repositories expand and the number of agents increases, evaluating every query against all facts and…
Cyber Threat Intelligence reports combine analytical prose with dense technical indicators, making structured entity extraction a challenging but operationally valuable task. This paper presents a comparative evaluation…
A coupled magneto-mechanical model to simulate the deformation of a ferromagnetic cylindrical shell under the action of an axial alternating magnetic field is presented. The model includes the anhysteretic Langevin…
This paper proposes BCA-YOLO, a YOLO-based architecture enhanced with three novel components. Bilateral Cross-Attention (BCA) block, which computes cross-attention between the feature maps of the left breast and the…
This study is aimed at assessing the impact of groundwater dynamics on the noosphere using modern information systems and integrated modeling approaches. The research proposes the use of remote sensing data and GIS…
This article analyzes the scientific-methodological foundations, architecture and pedagogical effectiveness of the «Mantiq» mobile platform, which monitors speech and cognitive development in preschool children using…
This article examines the geometric modeling of Islamic decorative patterns and digital algorithms for their creation. The compositional structure of Islamic patterns, the laws of symmetry, repeating elements, and the…
This article examines the application of the Case-Based Reasoning (CBR) method in decision support systems for career choice. The relevance of the study is determined by the need to intellectualize career guidance…
This work develops a complete three-dimensional mathematical model for the gravitational settling of a two-phase dispersed mixture and the vertical stratification of concentration in a water reservoir, formulated within…
In this study, a new EWM-MCDM (Entropy Weight Method – Multi-Criteria Decision-Making) model was developed to identify ecologically suitable areas for afforestation on the dried bed of the Aral Sea. Using the Google…
This study is devoted to modeling and optimizing information exchange processes in a virtual platform for local product trade. The research object is the information flow within the digital platform, while the subject…
This paper proposes a new feature extraction method for speaker recognition, called Delta-Gated Spike Encoding (DGSE). The proposed approach combines log-Mel spectrograms, temporal delta, adaptive thresholding, an…
Substitution boxes, commonly known as S-boxes, are one of the most important nonlinear components of modern symmetric-key block encryption algorithms. Their main task is to introduce confusion and nonlinear…
This article analyzes modern scientific research conducted in the field of Smart Environment infrastructure and examines existing approaches to the development of decision support models. In recent years, due to the…
This article examines methods of analyzing water composition and the possibilities of using modern technologies. The study compared traditional physical, chemical, and biological methods of water quality assessment, as…
This research is dedicated to the development of ModernUzBERT, an advanced embedding model for the Uzbek language based on contemporary Transformer architecture with an extended context window of 8192 tokens. In…
In this paper, using the deformation compatibility condition, similar to the well-known displacement equation, differential deformation equations are written. These, in combination with the equilibrium equation and…
Modern methods of data and space image processing - filtering, segmentation, classification, and restoration - require precise setup of a multitude of continuous parameters that determine the behavior of algorithms and…
Semi-supervised Density Peak (SDenPeak) algorithm is known to be efficient and simple in tasks clustering. It improves clustering performance by adding pair-wise constraints, must-link and cannot-link constraints, that…
This review paper systematically examines modern architectures, algorithms, and approaches aimed at reducing latency and dynamically managing resources in real-time big data stream processing systems. The…
This article examines monitoring seasonal changes in reservoir area based on Sentinel-2 data using the Google Earth Engine platform and the NDWI water index based on a time series for 2024, 2025, and the first three…
This study presents a comprehensive analysis of the variation of salt concentration in groundwater within a two-layer geological medium, taking into account both unconfined and confined aquifers. The investigation…
This paper proposes a fact-centric formal model and an incremental maintenance approach for a fact repository to represent heterogeneous digital information streams in a multi-agent environment. The approach covers fact…
This paper investigates the hydrodynamic characteristics of dam-break flows using a three-dimensional numerical model based on the Reynolds-Averaged Navier–Stokes (RANS) equations and the Volume of Fluid (VOF) method…
This article examines the theoretical foundations of regulatory science in medicine as a discipline focused on the holistic control of living systems. Regulatory science investigates the mechanisms that coordinate…
This article proposes a method and algorithm for solving a transportation problem in a fuzzy environment. This method is easy to understand and use, allowing for finding optimal solutions to real-world problems in fuzzy…
This article discusses the main issue under consideration, the most promising direction of data collection from sensors and data transmission using a wireless system, and technologies with a number of fundamentally new…