Кафедра штучного інтелекту та математичного моделювання
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Item type:Наукова стаття, Evaluation of the effectiveness of decision-making algorithms in the management of renewable energy sources: A case study of Ukraine(2025) Siasiev, Andrii; Dudnikov, Serhii; Nikolaienko, Dmytro; Hubal, Halyna; Bondarchuk, OlegThe integration of renewable energy sources in Ukraine requires advanced decision-making algorithms to address various challenges, including energy forecasting, resource optimization, and grid stability. The existing algorithms exhibit limitations in accuracy and efficiency, necessitating the development of innovative approaches to enhance performance in this regard. This work evaluated the performance of existing algorithms and developed two new algorithms: the enhanced forecasting algorithm (EFA) and the dynamic resource optimization algorithm (DROA). Data from a hybrid energy system comprising solar, wind, and battery storage was used for analysis. The algorithms were assessed based on forecasting accuracy, economic efficiency, and system stability. Moreover, key metrics like mean absolute percentage error (MAPE) and operational cost reductions were used for the evaluation in the current work. According to the analysis results, the EFA achieved a 54% improvement in forecasting accuracy and reduced MAPE to 5.8%. The DROA enhanced resource optimization, resulting in a 56% reduction in energy losses and an 18% decrease in operational costs. System stability was improved, and grid frequency fluctuations were reduced by 67%. These results demonstrated the superiority of these new algorithms over existing methods. This work highlighted advanced algorithms' critical role in optimizing Ukraine's renewable energy systems. The EFA and DROA demonstrated significant potential for operational and economic benefits. This is possible with improved energy forecasting, reduced losses, and enhanced grid stability. Future research endeavors should focus more on applications and explore additional performance metrics to optimize energy systems in this regard.Item type:Наукова стаття, The impact of CAD software on the teaching of engineering graphics: a systematic review(International University of Sarajevo, 2025) Koziar, Mykola; Hubal, Halyna; Burchak, Ihor; Botviniev, Maksym; Saveliev, DmytroIntroduction. Incorporating CAD and BIM in the engineering graphics learning environment has revolutionized teaching methods by providing richer visualization, analysis, and collaboration tools. Despite this, there are still big differences in the adoption and ability rates and levels of CAD and BI across regions and institutions. Methods. For PRISMA, 45 studies were used for comparison from 2020-2024. Studies selected for the review had to meet inclusion criteria about CAD and BIM awareness and competency, challenges, and fit within the engineering education curriculum. The data were combined qualitatively and quantitatively, and the discoveries were classified into major themes. Results. CAD applications like AutoCAD are more widely adopted in the BIM industry than in BIM applications like Revit, especially in development areas. Challenges to BIM adoption include high costs, lack of policies, and 2D drafting. Countries with developed BIM industries are the most effective and integrate educational curricula, highlighting the importance of industry alignment in promoting CAD and BIM technologies. Conclusion. This research suggests that frameworks for implementing BIM integration require a uniform set of best practices, more access to information, and demonetization and curriculum development to fill shortcomings. Even with CAD at the core, BIM advances must be looked for following the industry's needs and put into practice. Further research should be directed toward developing ways to overcome and advance the existing technology gaps.Item type:Наукова стаття, Mathematical investigation of change in the size of a cancerous tumour when its cells are being destroyed by T-lymphocytes(Taru Publications, 2025) Hubal, HalynaMathematical investigation of change in the size of a cancerous tumour under the conditions of the body’s immune response is performed. When the cancerous tumour is attacked by T-lymphocytes, its cancer cells are destroyed. Then, under certain conditions, the cancerous tumour shrinks. This process is described by the system of dynamic differential equations constructed in this research. It makes it possible to determine the conditions for the destruction of cancer tumours.