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In tasks of identifying relationships between technological parameters of automated control objects, the capabilities of neural networks are used. One of the important problems considered in such identification tasks is the choice of the neural network archite...
This paper presents the development of an automatic fruit sorting system based on color characteristics using an Arduino microcontroller and a TCS230 color sensor. The proposed system is designed to detect external color features of fruits in real time, proces...
Ensuring the continuous and reliable operation of power transformers is a fundamental requirement for modern electrical networks. The growing complexity of power systems demands innovative methods for real-time monitoring and predictive maintenance. This resea...
The most important feature of artificial neural networks, which indicates the wide capabilities and enormous potential, is the parallel processing of information by all parts. A large number of connections between neurons allows you to significantly speed up t...
This article focuses on developing an intelligent system for the safe utilization of Collector-Drainage Water (CDW) to mitigate the negative impact of the Qosh-Tepa canal construction on the water supply of the Kashkadarya region. Considering that 73% of the r...
This paper presents a mathematical model for traffic management in communication networks based on multi-criteria optimization. The model is built on network graphs and considers Quality of Service (QoS) indicators — such as delay, throughput, and reliability ...
This paper discusses modern face recognition algorithms, which are conventionally classified into geometric and template methods. Template methods use statistical approaches such as SVM, PCA, LDA, and convolutional neural networks. Particular attention is paid...
Abstract. This article analyzes convolutional neural network (CNN) algorithms and studies their application in computer vision, in particular, in automated road recognition systems. The main focus is on the structure of the CNN architecture, its operating prin...
The problem of denoising speech signals is a relevant task for speech recognition systems, mobile communication devices, and voice interfaces. This study proposes a new approach that combines Self - Organizing Map (SOM) and Spectral Subtraction methods. This a...
This paper explores the traffic flow at the intersection of the ring road of Tashkent city with Bogishamol Street. The study focuses on the movement of traffic and its dynamic indicators, such as intensity, density, and speed, which were studied and reprocesse...
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