OAK jurnallaridan yig‘ilgan 104809 ta ilmiy maqola: sarlavha, mualliflar, annotatsiya, kalit so‘zlar, DOI va tayyor iqtibos formatlari.
The paper presents a systematic study of stochastic mathematical models and simulation methods applied to evaluating the performance of computing machines. Three queuing models have been formalized and verified — M/M/1…
This article provides a scientific and technical overview of the emerging cyber threats to information systems used in the healthcare sector, as well as the functional capabilities of artificial intelligence…
The rapid development of digital technologies in the medical education system is expanding the possibilities of individualizing and increasing the usefulness of educational processes. The purpose of this study is to…
This article investigates the issues of improving the verification accuracy by improving the quality of digital signature images in offline signature verification systems. During the study, the impact of factors such as…
An adaptive area contrast enhancement algorithm is proposed to solve the problem of low contrast in agricultural images. The algorithm automatically detects low contrast regions using local standard deviation and Sobel…
This paper proposes a neuro-fuzzy model based on Sugeno-type ANFIS for adaptive control of urban intersections. The model accounts for the state of not only the central intersection but also four adjacent intersections…
This article evaluates noise removal and restoration errors using digital processing of ECG signals using wavelet types. As a result of the study, ECG signals were analyzed using second-order Daubechies wavelets, and…
Note: This article analyzes the process of formation of aphthous lesions in the oral cavity based on mathematical modeling. The aphthous process is a complex biological phenomenon occurring in the oral mucosa, in which…
This article analyzes the use of steganography and digital watermarking (DW) methods in protecting copyright and intellectual property of digital multimedia data. General schemes for placing and extracting digital…
In this study, the task of classifying brain tumors based on magnetic resonance imaging was analyzed using deep learning approaches. The study compared convolutional neural networks and transformer-based models…
This article provides a comparative analysis of the symbolic and numerical computing capabilities of MathCad and Python programming environments for solving engineering optimization problems. Special attention is paid…
This paper discusses the protection of intellectual property using one of the key areas of steganography — digital watermarking and digital fingerprinting. The study examines the types of watermarks (robust, fragile…
This article provides an in-depth analysis of advanced algorithms for automatic object detection and classification in video imagery. The rapid advancements in artificial intelligence and deep learning have…
This article discusses in detail the theoretical foundations, structure and practical applications of fractal robot technology. The fractal concept is based on the principle of self-similarity, and this feature is…
The article describes a PostgreSQL-based relational model for organizing automotive data on manufacturers, models, generations and trims. The analysis covers tables, enum types, foreign keys, temporal CHECK constraints…
The article investigates the entry of water from a supply pipeline into a spiral chamber through water-discharge structures, examining the transformation of kinetic energy resulting from the emergence of angular…
Ushbu maqolada veterinariya nazorati punktlarida biologik va epizootik xavfsizlikni ta'minlashning zamonaviy usullari "VIS-Border" axborot tizimidan amaliy tadqiqot sifatida foydalangan holda ko'rib chiqiladi. Mavjud…
The article investigates the problem of determining semantic similarity of Uzbek texts using mathematical modeling. The study aims to integrate semantic analysis, vector space representation, similarity calculation, and…
This article analyzes the problem of pixel-level separation of crop plants from weeds in agricultural images. In this study, the semantic segmentation models DeepLabV3+, U-Net, and U-Net++ were evaluated under identical…
This article proposes a quantum-resilient adaptive network security model for IoT and edge computing infrastructures. The model integrates firewalls, IDPS, Zero Trust, post-quantum cryptography, and resource-aware…
The principle of development of a perfect multisensor system integrated with unmanned aerial vehicles for the purpose of accurate and operational monitoring of various objects is considered. The system collects current…
Ushbu maqolada bir o'lchovli termoelastik jismning matematik modeli va uning sonli simulyatsiyasi muhokama qilinadi. Termoelastik jarayonlarni tavsiflovchi differentsial tenglamalar chekli farq usuli yordamida…
In this research, machine learning algorithms including Logistic Regression, Random Forest, XGBoost, and Artificial Neural Networks were evaluated and compared. Experimental results demonstrated that the integrated…
This article discusses the issues of geometric modeling of furniture objects with fractal structures based on the iterative function system (IFS). The study analyzes the specific properties of fractal geometry, in…
This article discusses theoretical foundations of digital image preprocessing algorithms, their software implementation, and performance evaluation. Image quality degradation caused by noise, low contrast, and blurring…
Recent studies in cognitive neurobiology have shown that biological neurons interact with each other through multiple neurotransmitter channels: a single neuron simultaneously secretes different neurotransmitters, each…
Dimensionality reduction is one of the important problems in machine learning and intellectual data analysis, especially when objects are described by mixed-type features measured in different scales. Methodology for…
This paper describes a hybrid quantum-classical system for solving the Capacity-Constrained Vehicle Routing Problem (CVRP) using a real-world distribution network in Samarkand, Uzbekistan.The problem is formulated as a…
Paper addresses the problems of histological image segmentation and morphometric feature extraction. Manual analysis of histological images is time-consuming and prone to subjective errors, making automation highly…
Ushbu ishning asosiy maqsadi neftni qayta ishlash zavodidagi gaz fraksiyalash bo'limida propan-butan fraksiyasi (C₃) ajratish jarayoni uchun parametrlarning noaniqligi, tashqi buzilishlar va cheklangan o'lchov…
This paper examines modular security architecture design for dynamically extensible web applications using Python and OAuth2. The objective is to establish a conceptual foundation for extensible authentication and…
This study is devoted to the development of a symmetric binary fractal tree model based on fractal geometry and the analysis of its application in furniture design. The main goal of the study is to form a parametrically…
Predicting hydrological dynamics in semi-arid regions is challenging due to climate instability. This study proposes a hybrid modeling framework integrating Seasonal-Trend decomposition (STL), SARIMA, and Long…
This paper investigates the effectiveness of transformer-based models (mBERT, BERTbek, XLM-R, ALBERT, ELECTRA) in analyzing Telegram social media text data. The study represents text data as contextual embeddings and…
Effective control of hydraulic processes in water management facilities, including irrigation canals, pumping stations, and reservoirs, is increasingly important under water scarcity and climate change. Traditional…
This article presents the results of a study on applying the particle swarm optimization algorithm to extract informative features from a training dataset. An informative feature extraction model was developed based on…
Abstract: This article examines the digital literacy gap between parents and children in the modern digital environment and its impact on the effectiveness of parental supervision. A survey of 150 families from the…
This study explores the development of methods and algorithms for detecting hazardous objects in robotic systems powered by artificial intelligence. A specialized dataset named DENGROUS was created using the Roboflow…
This article discusses the issue of statistical analysis of electrocardiogram (ECG) signals. The main goal of the study is to determine the main characteristics of the signals by constructing a covariance matrix based…
This paper proposes a simple and visually intuitive method for constructing Islamic ornamental patterns based on the “contacting polygons” technique introduced by Hankin. The proposed approach enables the formation of…
This article discusses the fundamental role of the Euler function and Euler's theorem in public-key cryptosystems, in particular the RSA algorithm. The article analyzes the mathematical foundations of the Euler…
This article considers the issues of analyzing ECG signals based on statistical methods. In the study, the main parameters obtained from electrocardiogram signals were evaluated using mathematical and statistical…
This article proposes a conceptual model of enterprise energy monitoring based on IoT and edge computing. The model is designed for real-time monitoring, analysis, and management of energy consumption in industrial…
Ushbu tadqiqot mahalliy mahsulot savdosi uchun virtual platformada axborot almashinuvi jarayonlarini modellashtirish va optimallashtirishga bag'ishlangan. Tadqiqot obyekti raqamli platforma ichidagi axborot oqimi, mavzu…
This article is devoted to a comprehensive analysis of the database architecture of the state information system “E-Shahodatnoma”. The study studied the performance characteristics of the Microsoft SQL Server 2022…
The mathematical model allows for the evaluation of the performance efficiency of the water filter, taking into account changes in concentration, porosity, pressure values and the fouling process. To select the…
This article presents a methodology for integrating multi-source geospatial data for soil salinity modeling. Field and laboratory observations, Sentinel-2 MSI imagery, spectral indices, and hydrogeological factors such…
Stealthy SQL injections using obfuscation, alternative encodings, and semantically veiled constructs remain a hard-to-detect threat to web applications. The paper proposes the INSECT framework, which combines formal…
The article proposes a theoretical and methodological framework for the parameter-efficient adaptation of pre-trained large language models (specifically the LLaMA-3 and Mistral-7B classes) to the Uzbek language under…
LLMs accelerate software development but often generate insecure code. This study proposes the Security Information Budget (SIB), a real-time metric measuring mutual information between model hidden representations and…