OAK jurnallaridan yig‘ilgan 104809 ta ilmiy maqola: sarlavha, mualliflar, annotatsiya, kalit so‘zlar, DOI va tayyor iqtibos formatlari.
This article addresses the automation of morphological analysis for Uzbek nouns and the updating of markup codes based on affixes. The proposed approach integrates dictionary-based morphological analysis with affix…
This article presents a new internal validity index of clustering called the Core Separation Index (CSI), designed to improve the quality and automate graph-based density clustering algorithms. The proposed index…
This article studies the asymptotic behavior of self-similar solutions within a nonlinear cross-diffusion system characterized by nonlocal boundary conditions. The principal term of the asymptotic behavior of…
A wide range of discrete models of micro-object identification and mechanisms for tracking, detecting and correcting distorted points in images have been studied. Under the conditions of internal and external…
In this paper, the electromagnetic properties of patch antennas with a ring-shaped open resonator based on various dielectric base (substrate) materials were electromagnetically modeled and analyzed. The study was…
Experimental results of Faraday rotation spectra in the range of 1.8-3.65 eV were obtained for H2O, CCl4, dimethylaniline, benzene, nitrobenzene, o-toluidine, o-anisidine, m-chloroaniline and o-chloroaniline…
This work is devoted to the description of certain cohomology groups with specific local conditions that possess the property of “local triviality.” It is proved that such groups are cyclic for certain classes of…
This paper presents an intelligent video monitoring system with automatic fire detection. The system is based on YOLO deep learning algorithms and contour analysis, enabling real-time video stream processing. The…
The article presents a comprehensive mathematical model of radial filtration in a cylindrical filter, where the fluid flows from the outer layer toward the central cavity. The regions of free flow are described by the…
In this study, a concatenated CNN model for pneumonia detection is proposed, combined with an image enhancement method based on fuzzy logic. The image enhancement process utilizes a novel refined fuzzification…
This article develops a model and numerical algorithm with second-order accuracy in time and spatial variables for solving problems of combined heat and moisture transfer during the storage and drying of heterogeneous…
High mortality in the acute and post-hospital periods of myocardial infarction underscores the relevance of accurately stratifying patient risk and assessing survival outcomes. This study compares two complementary…
The paper considers the problem of deformation of a thin conductive plate under the action of a non-stationary magnetic field taking into account the Lorentz forces and Joule heat generation. A mathematical model is…
Understanding how daily behavioral patterns contribute to stress is increasingly important in a digitally saturated world. This study investigates the relationship between technology use, lifestyle behaviors, and stress…
The article considers a numerical method for solving a two-dimensional coupled dynamic thermoplastic boundary value problem based on deformation theory of plasticity. Discrete equations are compiled by the…
This study introduces a nonlinear mathematical model and a numerical algorithm for simulating the emission and transport of aerosol and dust particles generated by wind erosion of soil in complex orographic terrain. The…
In this research paper, the development and application of parallelization techniques for the efficient solution of systems of logical equations, particularly in the field of medical diagnostics, are described. The…
This review systematizes how machine learning (ML) can be integrated into Lagrangian particle dispersion models (LPDM: FLEXPART, HYSPLIT, STILT, NAME) as a physics-consistent augmentation rather than a replacement of…
This paper argues that advances in fuzzy reasoning systems in healthcare are critical for patient data, requiring innovative methodologies that combine the interpretive capabilities of artificial intelligence with…
Drug development is a central topic at the intersection of structural biology, biochemistry, and medicine, associated with significant challenges such as high cost (billions of dollars), low success rates (less than…
The article presents a theoretical and practical comparative analysis of four important methods related to feature extraction and dimensionality reduction: Fisher Discriminant Analysis (FDA), Canonical Correlation…
To effectively detect and prevent DDoS (Distributed Denial-of-Service) attacks, it is necessary to use various datasets. This article analyzes the most popular datasets for DDoS attack detection, including CIC-DDoS2019…
This paper discusses the problem of creating a multimodal dataset based on MediaPipe technology for automatic translation of Uzbek sign language into text and speech. Due to the multifaceted nature of sign…
To study unsteady filtration and fluid displacement in multilayer porous systems, a self-similar solution has been obtained. From its form, it follows that by a special selection of parameters it is possible to ensure…
This article improves the mathematical model of the process of pollutant distribution in the atmospheric air taking into account their physical and mechanical properties - particle diameter, diffusion coefficient…
Using the Duhamel-Neumann relationship and the equations of motion, the Saint-Venant compatibility conditions, are written as a system of six dynamic equations with respect to strains. It is shown that, unlike the…
The quality of historical documents related to fields such as art, architecture, mathematics, astronomy, astrology, law, music, and medicine, which were written hundreds of years ago and are still preserved by libraries…
This article introduces an advanced speech signal protection technology aimed at safeguarding radio communication systems against information leakage. The proposed technology provides a reliable means of securing radio…
Scientific and methodological principles for optimizing the processes of identification, recognition, and classification of micro-objects have been developed based on the use of component characteristics in the image…
The article summarizes current literature data reflecting approaches and concepts for the development of scientifically grounded methods for studying the dynamic operating modes of cotton harvesters (CH). It highlights…
This article presents the development of an algorithm and a program based on a numerical model for calculating the main parameters of gas reservoir development, taking into account the variation of porosity depending on…
The work is devoted to the numerical solution of two-dimensional boundary value problems of elasticity theory formulated with respect to deformations. Differential equations of deformations are constructed on the basis…
This article presents a mathematical model for simulating airflow and pollutant dispersion in complex urban geometries, such as street canyons. The model incorporates the advection-diffusion equation to describe the…
The article examines the mathematical modeling of harmful substance dispersion in the atmosphere based on the advection–diffusion equation, taking into account the terrain relief. Key factors such as the movement of air…
Methods for optimizing the identification of pollen grains using statistical, dynamic, textural, and image-specific features have been developed. Point-wise and nonlinear contour matching techniques for the input and…
Under the influence of a magnetic field, a material can change its dimensions and shape, returning to its original state after the magnetic field is removed. This property finds applications in microelectronics…
In this article, SHAP values are used to give the model a result close to an accurate one. Which factors are good reasons for the SHAP model's result, some factors have no connection at all, and some other factors might…
This article presents the results of a study aimed at developing mathematical models for determining the death period of animals exposed to radioactive irradiation. The relevance of the topic is due to the need to…
This article investigates the asymptotic behavior of self-similar solutions of a nonlinear cross-diffusion system with nonlocal boundary conditions. The main term of the asymptotics of self-similar solutions has been…
This study addresses the development of methods and algorithms for evaluating delays based on machine learning models. Specifically, intelligent models and algorithms have been developed to assess sales delays in the…
In this study, heart rhythm is defined as the regular sequence of contractions and expansions of the heart, which occurs as a result of cardiac output. A healthy heart typically beats in a consistent, stable rhythm…
Breast cancer remains a critical global health concern, demanding advanced diagnostic tools for early detection. This study assesses the effectiveness of multiple machine learning algorithms—Logistic Regression, Support…
Iron deficiency anemia (IDA) is a prevalent global health issue, often diagnosed through peripheral blood smear (PBS) analysis, which relies on experienced specialists and expensive equipment, making it prone to human…
In this study, algorithms were developed for applying ensemble models of machine learning algorithms - LightGBM, AdaBoost, and HGB - in the diagnosis of diabetes mellitus. In the study, attributes with high correlation…
Currently, great attention is paid to the automation of all aspects. Automation of work processes of representatives of the veterinary field is also one of the important issues of today. This article considers the issue…
This article presents a multidimensional mathematical model of heat and moisture transfer processes in the storage of grain products under the influence of natural factors. The model is based on thermodynamic laws for…
Clustering is one of the main tasks of data analysis aimed at grouping objects into homogeneous subsets without predetermined labels. This article examines the method of column clustering. It uses the concept of…
This paper presents an improved mathematical model for describing filtration processes in two-layer dynamically interconnected oil reservoirs, incorporating the dependence of hydrodynamic parameters on changes in…
This research work is devoted to the problem of classifying diseases in kidney computed tomography images using neural networks. The novelty and uniqueness of the research is that it studies not only the traditional…
This article presents a mathematical model and numerical algorithms for solving a three-dimensional fluid filtration problem in a porous medium, using the hydrodynamic process of in-situ leaching (ISL) as an example…