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Modern Programming Technologies in the Tasks of Identification and Classification of Military Aircraft Using Machine Learning Algorithms
(Lublin: Lublin University of Technology, 2024-12-16) Terletskyi, Taras; Kaidyk, Oleh
This article addresses the development of an intelligent military aircraft identification system using artificial intelligence, machine learning, and deep self-learning technologies to enhance national security and military efficiency. The system aims to automatically and accurately recognize and classify aircraft in images, offering advantages over traditional methods such as higher productivity, speed, accuracy, and the elimination of human error. The importance of deep learning solutions for threat detection and operational efficiency is emphasized. Modern visual data-based object recognition methods and tools are analysed. The methodology includes collecting and preprocessing data, developing a high-precision recognition system based on Yolov8, annotating objects with Roboflow, and creating training, validation, and testing subsets in the yolo format. The paper details the dataset formation process and presents satisfactory results in fast recognition of military aircraft with high classification accuracy. A comparative analysis of Yolov8, R-CNN, and GPT-4 models shows Yolov8's superiority in prediction accuracy and performance. The article describes the model management system for adjusting hyperparameters, selecting object categories, and initiating the training and forecasting process. Testing results demonstrate Yolov8's optimality for military aircraft identification, achieving accurate target identification in complex situations using advanced deep learning algorithms.
Analysis of Wildfires Using GIS Technologies (Case Study of Volyn Region, Ukraine)
(Aachen: CEUR Workshop Proceedings, 2026-02-07) Kaidyk, Oleh; Terletskyi, Taras; Zdolbitska, Nina; Zdolbitska, Nina
The paper proposed a GIS-based study, which allow analysis of the impact of wildfires using multispectral satellite images. A wildfire that occurred between 30 April and 3 May 2025 north of the village Birky, Kamin-Kashirsky district Volyn region (northwestern Ukraine), formed the basis of the study. Using channels in the near-infrared (NIR) and short-wave infrared (SWIR) ranges was found to be the most promising approach for promptly detecting wildfires and determining their long-term consequences. To interpret the study results, consequences and intensity of the wildfire were assessed using the US Geological Survey scale and a normalized burning coefficient. Creating forest fire intensity maps is key todeveloping vegetation restoration plans after fires and assessing the potential future impact on burnt areas.
Regional Development and Communication Networks: Case Study of Western Ukraine
(2024-10-30) Puhach, Serhii; Kaidyk, Oleh
Communication is the basis of existence of modern civilization. Nowadays, communication is part of the most intensive innovation processes. The level of formation of communication networks largely determines both the preconditions and the current development of regions. Aim: The aim of the study was to analyze the interdependencies between the level of socio-economic development of the examined areas and the formation of communication networks on the example of local territorial units of Western Ukraine. The correlation analysis revealed significant links between communication networks and regional development. It is not always possible to determine the exact cause and effect in a specific case. The results of this study indicate that the socio-economic development of Western Ukraine has a more significant impact on the functioning of communication networks than the communication networks have on the socio-economic development. Like other natural and socio-economic resources, the presence of communication networks is a prerequisite for the development of the region. The emergence, perception and widespread use of new communications depend on several factors, one of which is the socio-economic development of a given area.
Challenges and Issues in the Use of Certificate Formats in Modern Information Systems: Pathways to Enhancing Cybersecurity
(Odesa: Helvetica, 2025-12-19) Kaidyk, Oleh
His article provides an overview of the main digital certificate data formats used to ensure information security and authentication in computer networks. In particular, it examines the most common formats – X.509, PGP, OpenPGP, PKCS – their structure, areas of application, advantages, and disadvantages. The study analyzes how different formats affect compatibility between software tools and presents examples of each format's use in modern security systems. The material may be useful for cybersecurity professionals, system administrators, and softw are developers working with certificates.
The Probabilistic Approach to Automated Visual Navigation in Closed Spaces
(2026-02-07) Artemenko, Olga; Dorenskyi, Oleksandr; Terletskyi, Taras; Kaidyk, Oleh; Kramar, Oleh
The paper reviews current approaches to automated navigation tasks, such as localization and mapping, and proposes a different approach based on probability density approximation. The proposed system uses feature extraction to reduce computation complexity. Descriptors, are then used to match mapped features to a current view, and localization uses iterative pose estimation based on gradient descent. Current system limitations and weaknesses are also shown

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