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This paper explores methods for analyzing automatic control systems (ACS) and optimizing controller parameters using the Python programming language. A third-order dynamic model of a heat exchanger is adopted as the research object. The study presents algorith...
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 study focuses on the analysis of the control system for the roasting process of sulfide-containing products. The physico-chemical characteristics of the process are examined, including temperature regulation, oxygen concentration, and gas flow stability. ...
The article examines the problem of surface-wave propagation on a current featuring large-scale turbulence in flowing reservoirs. In the course of the research, a scientific analysis was carried out of the main factors influencing the processes of alongshore c...
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—as...
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...
This article presents modern housing construction as a complex multi-level system that continuously evolves both in space and in time. The principles, objectives, functions, and methods of three interrelated areas — housing construction, urbanization, and regi...
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...
This paper presents a modeling approach for acid treatment of carbonate reservoirs, taking into account the geological structure of the near-wellbore zone. Using real field data from the Matonat and Western Kruk fields, parameters such as the Damkyuler number,...
The article examines methods for improving the energy efficiency of pumping stations to reduce operational costs and energy consumption. It emphasizes equipment modernization, implementation of automated control systems, and pump adjustment based on various st...
The basis of the system approach to safety management is the definition of the tasks of each element included in this system, the connections and interactions between them, as well as system analysis. The methods of system and system analysis, the Deming cycle...
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...
Abstract. The article presents the content and features of the bubble method algorithm for ordering of elements of a one-dimensional array in ascending order, in which the process of elements ordering is performed by sequentially comparing every two adjacent a...
Abstract. Maintaining a stable microclimate in greenhouses is essential for their efficient operation. The demand for automated control systems in agriculture is steadily increasing. The main issue lies in the lack of fast, adaptive, and autonomous control, in...
This article provides a detailed analysis of fuzzy logic and fuzzy production rules, which play a significant role in artificial intelligence and expert systems. The author justifies the relevance of modeling fuzzy inference for decision-making processes based...
This article discusses the solution to the problem of identifying complex hidden relationships between varieties by clustering using the DBSCAN algorithm, dividing the characteristics of soft wheat varieties into groups (reflecting the growth and development o...
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