• On the computational complexity of cascade GL-models for fault-tolerant multiprocessor systems 

  Romankevich, Vitaliy A.; Романкевич, Віталій Олексійович; Morozov, Kostiantyn V.; Морозов, Костянтин В’ячеславович; Romankevich, Alexei M.; Романкевич, Олексій Михайлович; Nikishyn, Yehor O.; Нікішин, Єгор Олексійович (Odessа Polytechnic National University, 2025-06-27)

  The article addresses the problem of evaluating the computational complexity of basic cascade GL-models used for modeling the behavior of fault-tolerant multiprocessor systems in the flow of failures. The purpose of this ...
• Internet of Energy based cellular structures for distributed Microgrids 

  Bielokha, Halyna S.; Бєлоха, Галина Сергіївна; Denysiuk, Serhii P.; Денисюк, Сергій Петрович; Derevianko, Denys G.; Дерев’янко, Денис Григорович (Odessа Polytechnic National University, 2025-06-27)

  In the face of evolving global energy challenges and the urgent need for resilient, decentralized, and digitized power systems, the concept of the Internet of Energy (IoE) emerges as a transformative framework ...
• A multi-criteria scoring metric for evaluating deep learning models in bitcoin price forecasting 

  Zlobin, Mykola M.; Злобін, Микола Миколайович; Bazylevych, Volodymyr M.; Базилевич, Володимир Маркович (Odessа Polytechnic National University, 2025-06-27)

  The increasing computational demands of deep learning have raised concerns about the environmental sustainability of artificial intelligence applications, particularly in high-frequency domains such as financial forecasting. ...
• Fuzzy models of wireless components sensor networks 

  Nesterenko, Sergiy A.; Нестеренко, Сергій Анатолійович; Tishin, Petr M.; Тішин, Петро Метталинович; Shtilman, Pavlo R.; Штільман, Павло Романович; Martynyuk, Oleksandr N.; Мартинюк, Олександр Миколайович; Mileiko, Igor G.; Мілейко, Ігор Генрікович (2025-06-27)

  The article addresses the problem of modeling wireless sensor networkcomponents operating under uncertainty and the influence of external factors. The relevance of the research stems from the growing need for ...
• A model for constructing neural network systems for recognizing emotionsof text fragments 

  Tereikovskyi, Ihor A.; Терейковський, Ігор Анатолійович; Korovii, Oleksandr S.; Коровій, Олександр Сергійович (2025-06-27)

  Emotion Recognition in text is a crucial task in Natural Language Processing, particularly relevant given the exponential growth of textual data from social media and voice interfaces. However, developing ...
• Analysis of existing approaches to automated refactoring of object-oriented software systems 

  Hodovychenko, Mykola A.; Годовиченко, Микола Анатолійович; Kurinko, Dmytro D.; Курінько, Дмитро Дмитрович (Odessа Polytechnic National University, 2025-06-27)

  Automated refactoring plays a crucial role in the maintenance and evolution of object-oriented software systems, where improving internal code structure directly impacts maintainability, scalability, ...
• Adaptive super-resolution integration to enhance object detection on low-quality unmanned aerial vehicleimagery 

  Holenko, Maksym Yu.; Голенко, Максим Юрійович (Odessа Polytechnic National University, 2025-06-27)

  The article addresses the problem of improving the accuracy of object detection in images captured by unmanned aerial vehicles under conditions of reduced spatial resolution and the presence of noise ...
• From classification to taxonomy: Automated structuring of vehicle repair names in multilingual corpora 

  Mashtalir, Sergii V.; Машталір, Сергій Володимирович; Nikolenko, Oleksandr V.; Ніколенко, Олександр Володимирович (Odessа Polytechnic National University, 2025-06-27)

  This study introduces and rigorously validates a hybrid, five-stage Natural Language Processing pipeline that transforms unstructured, bilingual repair-order text into fullynavigable, hierarchical action ...
• Patient location tracking method for virtual escort systems in healthcare facilities 

  Lysenko, Maksym S.; Лисенко, Максим Сергійович; Lobanchykova, Nadiia M.; Лобанчикова, Надія Миколаївна (Odessа Polytechnic National University, 2025-04-04)

  This article proposes a hybrid patient location tracking method for virtual escort systems in healthcare facilities. To ensure the required positioning accuracy and seamless navigation, that are particularly important for ...
• Representation-based ECG signal prediction for neural networks pre-training 

  Stavychenko, Serhii G.; Ставиченко, Сергій Григорович; Filatova, Anna E.; Філатова, Ганна Євгенівна (Odessа Polytechnic National University, 2025-04-04)

  A limited amount of training data is a well-known challenge in the application of deep learning methods. This issue is particularly relevant in biomedical signal processing, such as the analysis of electrocardiograms, due ...
• The intelligent information technology for construction waste analysis and management 

  Arsirii, Olena O.; Арсірій, Олена Олександрівна; Cudecka-Purina, Natalija; Цудечка-Пуріня, Наталія; Ivanov, Oleksii V.; Іванов, Олексій Володимирович; Bieliaiev, Kyrylo O.; Бєляєв, Кирило Олександрович (Odessа Polytechnic National University, 2025-04-04)

  In modern conditions of increasing the amount of waste generated during construction, demolition, repair or reconstruction of facilities, the problem of analysis and management of this waste is becoming increasingly ...
• Virtually unlimited sharding for scalable distributed ledgers 

  Grybniak, Sergii S.; Грибняк, Сергій Сергійович; Leonchyk, Yevhen Y.; Леончик, Євген Юрійович; Mazurok, Igor Y.; Мазурок, Ігор Євгенович; Nashyvan, Oleksandr S.; Нашиван, Олександр Сергійович; Shanin, Ruslan V.; Шанін, Руслан Васильович; Vorokhta, Alisa Y.; Ворохта, Аліса Юріївна (Odessа Polytechnic National University, 2025-04-04)

  This paper presents an approach to improving the scalability of the decentralized smart contract platform Waterfall, based on the concept of hierarchical fractal sharding. Although distributed ledger technology holds ...
• Improved segmentation model to identify object instances based on textual prompts 

  Mashtalir, Sergii V.; Машталір, Сергій Володимирович; Kovtunenko, Andrii R.; Ковтуненко, Андрій Романович (Odessа Polytechnic National University, 2025-04-04)

  The rapidly increasing amount of multimedia information requires significant methods development for its rapid processing. In this case, one of the areas of processing is preliminary analysis with the images characteristic ...
• Using deep neural networks for image denoising in hardware-limited environments 

  Sheremet, Oleksii I.; Шеремет, Олексій Іванович; Sadovoi, Oleksandr V.; Садовой, Олександр Валентинович; Sheremet, Kateryna S.; Шеремет, Катерина Сергіївна; Sokhina, Yuliia V.; Сохіна, Юлія Віталіївна (Odessа Polytechnic National University, 2025-04-04)

  Image denoising remains a vital topic in digital image processing, as it aims to recover visually clear content from observations compromised by random fluctuations. This article provides an overview of advanced deep ...
• Partitioning the data space before applying hashing using clustering algorithms 

  Subbotin, Sergey A.; Субботін, Сергій Олександрович; Shmalko, Fedir А.; Шмалько, Федір Анатолійович (Odessа Polytechnic National University, 2025-04-04)

  This research presents a locality-sensitive hashing framework that enhances approximate nearest neighbor search efficiency by integrating adaptive encoding trees and BERT-based clusterization. The proposed method optimizes ...
• Methods of filtering and regression for forecasting noisy timeseries based on machine learning 

  Volovetskyi, Oleksandr O.; Воловецький, Олександр Остапович (Odessа Polytechnic National University, 2025-04-04)

  Predicting parameters in industrial processes is significantly complicated by the presence of noise in sequential measurements, which reduces the effectiveness of technological process control. The aim of the research is ...
• 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 ...

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