OAK jurnallaridan yig‘ilgan 104809 ta ilmiy maqola: sarlavha, mualliflar, annotatsiya, kalit so‘zlar, DOI va tayyor iqtibos formatlari.
This article discusses the design of a laboratory device for determining the photoactive spectral range of photovoltaic elements. The proposed device makes it possible to evaluate the efficiency of electrical energy…
This article examines an adaptive methodological model for teaching programming to future engineers using artificial intelligence technologies. It substantiates the need to personalize the educational process based on…
The article discusses the security problems that arise due to the increasing complexity of modern computer networks and the development of automated intelligent systems to solve them. The research suggests an approach…
This article analyzes the interaction of agroecological (planting density, harvesting time, soil type, fertilization, climate) and biological factors in kenaf (Hibiscus cannabinus L.) cultivation and fiber production…
This article examines the issues of optimizing encryption algorithms used to protect data in cloud infrastructures. Ensuring data security in modern cloud services is of great importance. Therefore, the article analyzes…
This academic article analyzes the essence, developmental stages, and contemporary challenges of the education system. The research established the integral link between education and the socio-economic development of…
This article analyzes the issues of developing a communication management system based on artificial intelligence (AI) in the field of public services. During the research, the role of AI technologies in automating…
This article examines a hybrid model for detecting phishing attacks in information and communication systems by combining URL features, email text, behavioral signals, and local domain characteristics. The study treats…
The article presents the development of an intelligent control structure for a mechatronic module designed to display 3D graphics. The main objective is to achieve high precision in controlling the module’s spatial…
Infrastructure for training artificial intelligence (AI) models requires high bandwidth and minimal latency. In developing countries, particularly Uzbekistan, the high cost of traditional InfiniBand networks poses a…
This article considers the problem of tracking state variables in nonlinear control objects under conditions of unknown harmonic disturbances affecting the output signal. The main goal of the research is to develop an…
This paper provides a theoretical and practical analysis of the proposed multi-agent architecture for information systems based on a cognitive and modular approach. The study explored the possibilities of organizing the…
Image-based data, in particular, require significant computational resources, slowing down processing. This study investigates the efficiency of parallel image filtering on large-scale data using GPU. Filtering was…
This article examines the mathematical modeling of heat and mass transfer processes under turbulent flow conditions. Flow characteristics are analyzed based on the Reynolds-Averaged Navier-Stokes (RANS) approach…
This study presents a comprehensive simulation analysis of germanium (Ge) diffusion into silicon (Si) substrates with a resistivity of 100 Ω·cm (n-type) in the temperature range of 800–1200 °C using the Synopsys…
This article analyzes the effectiveness of malware detection methods using artificial intelligence technologies. With the rapid development of modern information and communication technologies, the number of malicious…
The scarcity of labeled data remains a fundamental limitation of supervised learning models. This study proposes an autoencoder-based unsupervised approach for detecting anomalies in network traffic. Experiments…
This article analyzes current trends in the field of cybersecurity. Today, the stable and protected operation of data transmission networks, computer systems, and mobile devices has become a fundamental condition…
This article presents a study of a dictionary-based pre-filter for safe educational content generation in a school environment. An Android application based on the MVVM architecture was developed as an experimental…
This article analyzes two methods of adversarial attacks created against machine — training — based pest program detection systems-JSMA (Jacobian Saliency Map Attack) and Carlini & Wagner (C&W) - in a practical…
This paper proposes a speech recognition system for automatically recognizing separately pronounced Uzbek words. The system uses MFCC for acoustic feature extraction and a Gaussian Hidden Markov Model for word modeling…
In this work, methods and algorithms for improving the quality of a given image are studied. Methods for reducing noise, improving contrast, increasing sharpness, and clearly displaying image elements during image…
This article describes the research conducted by training the neural network model proposed by NVIDIA in speech recognition with a speech dataset of the Uzbek language. Currently, various models of neural networks are…
While large-scale pre-trained models have significantly advanced multilingual Automatic Speech Recognition (ASR), many low-resource languages remain under-served due to the scarcity of high-quality annotated speech…
This article studies the effectiveness of modern deep learning models for the task of deep contextual analysis of text data in social networks. As part of the study, the ability of RNN, LSTM and DistilBERT models based…
This article studies the technical architecture and mathematical model of an adaptive digital environment based on the integration of AutoCAD + Python + AI in teaching engineering geometry and computer graphics. Within…
This article describes a solution for systematizing the approach to personal data protection (PDP) using the method of de-identification in the context of regulatory pressure and growing cyber threats. It proposes…
Currently, alongside the rapid development of information and communication technologies, not only the number of malware programs but also their functionality is increasing. This necessitates the use of intelligent…
Abstract: This article proposes algorithms and software integration models for effective data analysis in the DNA (deoxyribonucleic acid) identification system based on STR (Short Tandem Repeat) markers. In the course…
This article examines the problem of pollution on the surface of solar panels and its impact on efficiency. During the research, observation systems based on two types of light-sensitive sensors - photoresistor (LDR)…
This article proposes a model for identifying urban infrastructure problems in citizen appeals based on geolocation data. In the study, features are extracted from geolocation points, timestamps, and movement parameters…
In medium-scale ICT networks, SDN centralizes control, yet TLS/HTTPS encryption, QUIC/WebRTC, and DDoS threats reduce the effectiveness of conventional DPI. This paper proposes TCQFG-DPI, a hybrid approach that offloads…
Abstract. This article proposes a firewall model based on dynamic filtering rules. The model represents packet processing as a single-server queuing system with a finite buffer under a Poisson arrival process and…
This paper investigates the construction of a quadrature formula based on B-spline functions for the approximate evaluation of definite integrals. In the study, the integrand is approximated using B-spline basis…
This study analyzes risks associated with different instructional approaches in higher education and explores mitigation strategies. With the growth of online and hybrid delivery, it applies Fuzzy TOPSIS to evaluate and…
Today, mathematical modeling is becoming more important in studying digital signal processing and image reconstruction problems. In modern information technologies, spline functions often give better results than…
This article analyzes the efficiency of the MQTT protocol in transmitting sensor data within IoT systems operating under constrained energy and network resources. The conducted experiments and developed mathematical…
This article is devoted to the problem of classifying Uzbek-language texts based on intelligent text analysis technologies. The study analyzes probabilistic approaches to text classification — Bernoulli and Multinomial…
ABSTRACT The operational complexity of modern industrial processes demands control frameworks that are both mathematically rigorous and computationally agile. This paper provides a systematic review of the…
Abstract: This article presents a comprehensive analysis of the influence of various modifiers and alloying elements on the mechanical properties of manganese steel. Based on the obtained results, a multi-component…
In this study, an algorithm for artificially expanding the training sample was developed for classifying cotton varieties recommended for planting in the Republic of Uzbekistan by region. The algorithm is based on…
This article presents the results of scientific research on the development of a web-based software platform designed for the early detection of diabetes mellitus. The system, called “Erta Diabet”, has been developed as…
This article elucidates the principles of synthesizing state observers used for controlled objects with limited direct state measurement capabilities. The observer calculates the internal states of the object based on…
The purpose of this study is to study the existing approaches to analyzing pseudo-dynamic S-boxes and to justify the need to create S-boxes that can satisfy conflicting requirements. The work systematizes S-box…
This dissertation investigates the security of symmetric cryptographic primitives. These systems rely on mathematical object-based transformations that can be expressed in several ways. Subsequently, various induced…
The article presents a theoretical analysis of the separation of impurities from cotton particles under the action of spring-mounted spikes. The cleaning efficiency is evaluated based on the time-dependent variation of…
Various dust collection devices with different efficiencies are used worldwide to clean atmospheric air from dust generated during industrial processes and to prevent the release of various harmful emissions into the…
Early detection and effective extinguishing of fires are important factors in ensuring safety in closed environments. In this article, algorithms for an intelligent system based on camera systems are developed to detect…
In this paper, the computational efficiency of parametric exponentiation operations within the framework of parametric algebra is analyzed, and an algorithmic approach for their fast computation is proposed. By…
Finding optimal offloading decisions for dependent tasks with multiple objectives and hard deadlines in resource-constrained mobile edge computing networks is a challenging problem. The solution to this problem is…