• Generalization of the method for constructing GL-models of complex fault-tolerant multiprocessor systems with additional failure conditions 

  Romankevich, Vitaliy A.; Романкевич, Віталій Олексійович; Yermolenko, Ihor A.; Єрмоленко, Ігор Андрійович; Morozov, Kostiantyn V.; Морозов, Костянтин В’ячеславович; Romankevich, Alexei M.; Романкевич, Олексій Михайлович; Melnyk, Oleksandr O.; Мельник, Олександр Олегович (Odessа Polytechnic National University, 2025-06-27)

  The article is devoted to methods for constructing GL-models of fault-tolerant multiprocessor systems. GL-models can be used as behavioral models of such systems under failure flows to evaluate their reliability ...
• Risk assessment and network description modules in a multi-level wireless sensor network risk assessment ontology 

  Shtilman, Pavel R.; Штільман, Павло Романович; Tishin, Petr M.; Тішин, Петро Метталинович; Shendryk, Yevhen V.; Шендрик, Євген Валентинович; Elkin, Vitaliy O.; Єлькін, Віталій Олександрович (Odessа Polytechnic National University, 2025-06-27)

  Wireless sensor networks have become widely used in industrial automation systems due to their ease of deployment, flexibility, and cost-effectiveness. They provide real-time monitoring, diagnostics, and ...
• A hybrid method for detecting anomalous traffic in computer networks 

  Klots, Yurii P.; Кльоц, Юрій Павлович; Petliak, Nataliia S.; Петляк, Наталія Сергіївна; Titova, Vira Y.; Тітова, Віра Юріївна (Odessа Polytechnic National University, 2025-06-27)

  This study addresses the increasing difficulty of detecting anomalies in network traffic caused by growing threats to information and communication systems. Traditional intrusion detection systems often fail to ...
• A systematic approach to selecting architectural patterns for IoT development 

  Chumachenko, Danylo K.; Чумаченко, Данило Кирилович; Liubchenko, Vira V.; Любченко, Віра Вікторівна (Odessа Polytechnic National University, 2025-06-27)

  The increasing complexity and scale of Internet of Things (IoT) systems, especially within industrial environments, pose significant challenges in system design, including issues of security, ...
• Method for incremental control of consistency between structural andbehavioral views of software architecture 

  Komleva, Nataliia O.; Комлева, Наталія Олегівна; Nikitchenko, Maksym I.; Нікітченко, Максим Ігорович (Odessа Polytechnic National University, 2025-06-27)

  The development of software engineering poses a challenge for researchers to maintain the integrity of models stored simultaneously in a lightweight text format and in a formally rich metadata ...
• Heterogeneous swarm complexmultilevel reconfiguration based on Swarm Chemistry 

  Kozlov, Mykyta S.; Козлов, Микита Сергiйович; Shvets, Yuliia O.; Швець, Юлiя Олександрiвна (Odessа Polytechnic National University, 2025-06-27)

  The need for the rapid and safe analysis of areas affected by emergencies is driving the search for innovative approaches in the field of autonomous systems. One such solution is the use of swarms of unmanned ...
• GL-models for analyzing multiprocessor systems tolerant to one and two failures 

  Romankevich, Vitaliy A.; Романкевич, Віталій Олексійович; Morozov, Kostiantyn V.; Морозов, Костянтин В’ячеславович; Romankevich, Alexei M.; Романкевич, Олексій Михайлович; Halytsky, Daniil V.; Галицький, Данііл Володимирович; Zhurba, Anton V.; Журба, Антон Володимирович (Odessа Polytechnic National University, 2025-04-05)

  The work is devoted to the problem of constructing GL-models of behavior in the fault flow of non-basic fault-tolerant multiprocessor systems. We consider systems that are fault-tolerant to any one failure, and under a ...
• Investigation of the efficiency of neural network models for developing a classifier of ophthalmic pathologies 

  Uhryn, Dmytro I.; Угрин, Дмитро Ілліч; Karachevtsev, Artem O.; Карачевцев, Артем Олегович; Ilin, Viktor A.; Ілін, Віктор Андрійович; Halin, Yurii O.; Галін, Юрій Олександрович; Shkidina, Kateryna S.; Шкідіна, Катерина Сергіївна (Odessа Polytechnic National University, 2025-04-04)

  This study presents the development and evaluation of a machine learning-based system for the classification of ophthalmic diseases using fundus images. The dataset consists of images categorized into four main classes: ...
• Using large language models for video processing in the agricultural industry 

  Antoshchuk, Svitlana G.; Антощук, Світлана Григорівна; Kunup, Tetiana V.; Кунуп, Тетяна Василівна; Lytvynenko, Volodymyr I.; Литвиненко, Володимир Іванович; Danchuk, Oleksii V.; Данчук, Олексій Володимирович (Odessа Polytechnic National University, 2025-04-05)

  Modern artificial intelligence technologies, particularly large language models, are increasingly being applied in agricultur e to enhance automation, decision-making, and sustainability. This study presents a comprehensive ...
• Integration of physiological factors into a mathematical model of the human eye condition 

  Vychuzhanin, Vladimir V.; Вичужанін, Володимир Вікторович; Vychuzhanin, Alexey V.; Вичужанін, Олексій Володимирович; Guzun, Olga V.; Гузун, Ольга Володимирівна; Zadorozhny, Oleg S.; Задорожний, Олег Сергійович (Odessа Polytechnic National University, 2025-04-04)

  Mathematical models of the human eye serve as adaptive tools for analyzing and predicting ophthalmological parameters, con- sidering their interrelations and individual patient characteristics. Their application in ...
• Thermal control of a complex of thermoelectric cooling devices 

  Zaykov, Vladimir P.; Зайков, Володимир Петрович; Mescheryakov, Vladimir I.; Мещеряков, Володимир Іванович; Ustenko, Andrii S.; Устенко, Андрiй Сергiйович (Odessа Polytechnic National University, 2025-04-04)

  The paper presents the results of research into the possibility of controlling a complex of thermoelectric cooling devices with parallel electrical connection in a non-uniform temperature field. Such formulation of the ...
• Hybrid detection of fuzzy duplicate texts: сosine similarity and transformers 

  Zabolotnia, Tetiana M.; Заболотня, Тетяна Миколаївна; Kozynets, Nazarii V.; Козинець, Назарій Вікторович (Odessа Polytechnic National University, 2025-04-04)

  This paper addresses the challenge of detecting texts that share the same meaning but differ in wording and structure. Such “fuzzy duplicates” are increasingly prevalent in user-generated content, media articles, and ...
• Using complex-valued neural networks for aircraft identification 

  Korzhov, Serhii O.; Коржов, Сергій Олександрович; Yesilevkyi, Valentyn S.; Єсілевський, Валентин Семенович (Odessа Polytechnic National University, 2025-04-04)

  This paper presents an approach to aircraft recognition using complex-valued neural networks. The objective of the article is to study the effectiveness of complex-valued neural networks for aircraft identification tasks ...
• Development of a combined model for analyzing gas mixtures using machine learning methods 

  Bilak, Yurii Yu.; Білак, Юрій Юрійович (Odessа Polytechnic National University, 2025-04-04)

  Analysis of gas mixtures is an important task in spectroscopy, environmental monitoring, industrial control and scientific research. Accurate determination of component concentrations in complex gas environments requires ...
• Machine learning models for predicting payment status on an online car rental platform 

  Arsirii, Olena O.; Арсірій, Олена Олександрівна; Krantovskyi, Illia O.; Крантовський, Ілля Олександрович; Rudenko, Olexandr V.; Руденко, Олександр Володимирович; Glava, Maria G.; Глава, Марія Геннадіївна (Odessа Polytechnic National University, 2025-04-04)

  It has been demonstrated that the detailed data collected on online platforms are heterogeneous, semantically inconsistent, and weakly structured. Therefore, the use of machine learning for their aggregation, structuring, ...
• ResJobFit - end-to-end artificial neural networks based technology for job-resume matching 

  Bocharova, Maiia Y.; Бочарова, Майя Юріївна; Malakhov, Eugene V.; Малахов, Євгеній Валерійович (Odessа Polytechnic National University, 2024-11-29)

  With the ever-growing expansion of online recruitment, a reliable person-job matching has become increasingly crucial. Due to different experience, education and specialization requirements, as well as location considerations, ...
• Reducing the amount of computations at the second stage of an ensemble classifier with stacking on mine-detection drones 

  Galchonkov, Oleg N.; Галчонков, Олег Миколайвич; Baranov, Alexey M.; Баранов, Олексій Миколайвич; Baskov, Illia O.; Баськов, Ілля Олександрович (Odessа Polytechnic National University, 2024-11-29)

  Using drones to search for mines is a promising area that allows accelerating the process of demining an area and reducing the danger to people. To increase the probability of detecting mines, drones use sensors with ...
• Development of the architecture of a computer aided diagnosis system in medicine 

  Berezsky, Oleh M.; Березький, Олег Миколайович; Liashchynskyi, Pavlo B.; Лящинський, Павло Борисович (Odessа Polytechnic National University, 2024-11-29)

  With the development of information technology, automation of various production processes is an urgent task, and medical diagnostics is no exception. In recent decades, artificial intelligence and information technology ...
• Recommendation system for financial decision-making using Artificial intelligence 

  Shuryhin, Kostiantyn A.; Шуригін, Костянтин Андрійович; Zinovatna, Svitlana L.; Зіноватна, Світлана Леонідівна (Odessа Polytechnic National University, 2024-11-29)

  The rapid expansion of artificial intelligence (AI) in consumer markets presents challenges, particularly in how cognitive biases influence financial decision-making. These biases can lead to irrational spending, raising ...
• Methods for refining the depth map obtained from depth sensors 

  Kondratyev, Sergey B.; Кондратьєв, Сергій Борисович; Antoshchuk, Svitlana G.; Антощук, Світлана Григорівна; Hodovychenko, Mykola A.; Годовиченко, Микола Анатолійович (Odessа Polytechnic National University, 2024-11-29)

  Depth maps are essential in applications such as robotics, augmented reality, autonomous vehicles, and medical imaging, providing critical spatial information. However, depth maps from sensors like time-of-flight (ToF) ...

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