• 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 ...
• 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 ...

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