Журнал зарегистрирован в Агентстве информации и массовых коммуникаций при Администрации Президента Республики Узбекистан. Свидетельство о регистрации №1469 от 26 ноября 2021 года.
| Nashriyot | ТАТУ Самарқанд филиали |
|---|---|
| Shahar | Samarqand |
| ISSN | 2181-3086 |
| e-ISSN | 2181-3094 |
| Tashkil etilgan | 2021 |
| Nashr davriyligi | Yiliga 4 marta (four issues annually) |
| Maqolalar soni | 258 |
| OAK holati | Ro‘yxatda |
This study analyzes the efficiency of SHA (Secure Hash Algorithm) family algorithms depending on message length. The execution time of hashing processes for SHA-1 and SHA-2 (SHA-224, SHA-256, SHA-384, SHA-512)…
The article is devoted to the development of an information model of vocational guidance, focused on the analysis of competencies using the k-nearest neighbors (k-NN) method. In this work, the method is used to assess…
The article considers the problem of forecasting changes in groundwater levels using numerical methods based on a three-dimensional nonlinear mathematical model. The model takes into account factors affecting the…
Natural Language Processing (NLP) has witnessed remarkable advancements in recent years, driven by the development of sophisticated algorithms and models such as GPT-4, T5, and BERT. These models have revolutionized the…
In this article, a comparative analysis of various materials used in the manufacture of antenna devices is carried out. During the analysis, the properties of traditional, composite, and metamaterials were studied, and…
This article analyzes the vulnerabilities of the A5/1 stream cipher algorithm and proposes two new approaches to attack it. The first method is based on reconstructing the values of registers by analyzing the…
This article proposes a conceptual approach to optimizing decision-making processes in Business Intelligence systems based on the Pareto-optimal approach and the concept of self-adaptive agents. Business Intelligence…
A methodology has been developed for optimizing the identification, recognition, and classification of micro-objects based on dynamic models combined with neural networks with tools for filtering impulse interference…
This article focuses on developing a mathematical model intended for monitoring, forecasting, and guiding management decisions related to environmental protection in the surface layer of the atmosphere. The article…
This study addresses the problem of detecting and correcting spelling errors in Uzbek texts. Due to the complex morphological structure and agglutinative nature of the Uzbek language, traditional spell-checking methods…
The article discusses the development of an algorithm and software for calculating the hydraulic resistance coefficient of complex gas pipeline systems. The methodology for selecting the initial data, the mathematical…
In this article developed a numerical algorithm for solving a multidimensional mathematical model of joint heat and moisture transfer processes in heterogeneous porous bodies shaped as rectangular parallelepipeds. The…
Modeling of nonlinear filtration processes in multilayer heterogeneous porous media is a complex area that combines various mathematical and physical principles to understand the dynamics of fluid in porous structures…
In our study, we developed and tested a comprehensive approach to assess flood risk zones in Samarkand city by integrating data from digital elevation models of different resolutions (NASA SRTM - 30 m, ALOS PALSAR DEM…
The paper presents a summary of the work done on the application of underground mining methods in the backfilling of ore deposits. In addition, basic information for future research is provided. The analysis of the…
Scene classification is one of the important tasks in the analysis of remote sensing images. This article examines the application of machine learning algorithms for forming image descriptors and classifying scenes…
In this research, the splitting into physical processes approach is used to numerically predict the propagation of radioactive contaminants in the environment. The movement, diffusion, and absorption of radioactive…
The mobile communication industry has seen rapid growth in the number of users, and the globally most popular GSM network is facing a number of security vulnerabilities. While some of these issues have been addressed in…
A computer-aided diagnosis system model is developed using fuzzy subsets. In this case, symbols are treated as fuzzy subsets of the corresponding data set. The degree of relevance of a value in the fuzzy subset of a…
This research paper proposes that integrated approaches to image processing, the use of machine learning algorithms in segmentation, the U-Net method will help to achieve high accuracy in diagnosing various retinal…
The work is devoted to the development and evaluation of a situational cause-and-effect model of the gas distribution network performance indicators in emergency situations. A method for modeling various emergency…
A constructive system methodology is proposed to study the influence of the main climatic and metrological factors on the process of transfer and transport of harmful substances in the atmosphere. Based on the analysis…
In this article, an algorithm for calculating the probabilistic-temporal characteristics of heterogeneous information flows has been developed, which allows taking into account the priority and reliability of incoming…
Data privacy issues are increasing significantly in computing systems implemented by the Internet of Things, cloud computing, e-government, artificial intelligence applications, and neural networks. Homomorphic…
This article presents a mathematical model for analyzing and predicting the dispersion of toxic substances in the atmospheric boundary layer. The model takes into account the particle transport velocities in the air…
Today, the volume of information is growing at a rapid pace and the process of giving opinions for each person using records from different databases is improving. By aggregating records from different databases into a…
Mathematical modeling is the main method and means for understanding objects, processes, and phenomena occurring in nature. It is used in all areas of science, technology, and the national economy, including solving…
Magnetoelastic materials are gaining significant importance in research aimed at utilizing new technologies, such as smart materials and nanotechnology, which may lead to the development of new devices and systems in…
In this study, yawning, which is considered one of the physiological deviations of humans, mouth opening state classification and several machine learning algorithms were used. The CNN model outperformed traditional…
This article is dedicated to studying the bending characteristics of thin plates under the influence of non-stationary stresses. The deformation process of plates under non-stationary loads is analyzed based on…
This article reviewed the methods and algorithms for processing and diagnosing X-ray images that are widely used in medicine today. In order to improve the implementation of deep learning in modern medicine and further…
This paper presents an analysis of the application of the Low-Rank Adaptation method (LoRA) for the task of monolingual text generation in Uzbek. We used the T5-base, T5-Large and uzT5 models to determine which one…
While non-linear S-tables are important in the security of symmetric cryptosystems, their hardware implementation also requires a large number of logic elements compared to the rest of the mappings. This makes it…
In the article, a study was conducted to comprehensively study the important factors affecting the process of migration and diffusion of harmful substances and dust particles in the atmosphere. The physical and…
Methods have been developed to optimize the identification of pollen grains using statistical, dynamic, textural and specific image characteristics. Mechanisms for point and nonlinear verification of the correspondence…
Exploration of an unknown environment by a mobile robot during SLAM processes is a fundamental challenge. In this study, an extended iteration of the Rmap algorithm is presented by modifying its Exploration submodule…
This research work aims to develop a model of the Uzbek language using artificial neural networks to improve natural language processing (NLP) capabilities. The article classifies various methods of creating language…
Currently, the need to use the hydraulic system in various fields is increasing. Including excavator equipment, crane machines optimize the process of moving cargo. In the FOPID system, the power of the fluid is used in…
This research aims to develop improved methods for diagnosing diseases in cattle using the principles of neutrosophic sets and Sugeno fuzzy inference. The study proposed new algorithms and models that effectively…
This article uses two image processing methods, k-means and Threshold. For the experiment, detection, quantification and analysis of green leaf spots collected mainly from online sources were considered. The purpose of…
The article highlights the theoretical and practical aspects of a mathematical model for predicting the movement and level of groundwater based on the studied literature. The application of this model allows for…
The present work is devoted to the formulation and numerical solution of coupled boundary value problems of thermoelasticity with respect to deformations for a rod, a plate, and a parallelepiped. Two equivalent coupled…
Modeling the distribution of pollutants in the atmosphere is one of the most important tasks in environmental research and environmental protection. The advection-diffusion equation is widely used to study this process…
The study of the process of changing the groundwater level and salt concentration when monitoring freshwater reserves is one of the urgent tasks. Therefore, in this study, the relationship between changes in the…
Fire detection through CCTV systems is critical to quickly responding to fires and reducing potential hazards. In this study, we present an innovative approach to flame detection that uses shape analysis to improve the…
This article discusses the development and research of a new vehicle speed control system using modern radio frequency identification technology. Practical solutions have been developed to control the speed of vehicles…
The article discusses the issues of monitoring and forecasting the ecological state of the air basin of industrial regions and determines the main parameters and intervals of their change to improve adequate…
In this article, a mathematical model has been developed to study the regulatory mechanisms of the emergence and development of primary tumors of the central nervous system using nonlinear delayed-type functional…
This article reviews effective facial emotion recognition methods using convolutional neural networks and deep learning methodologies. While we cover the ins and outs of building and training a convolutional neural…
The article discusses approaches to text recognition based on artificial intelligence algorithms. Since text language identification is a classification problem in artificial intelligence, the article examines the…