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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...
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 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 re...
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 reliabilit...
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,...
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...
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...
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