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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.
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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