• Application of deep learning methods to image processing and enhancement: A case study on seismic data 

  Malikov, R.; Маліков, Р. (ВНТУ, 2026)

  The aim of this study was to evaluate the effectiveness of a modified encoder-decoder neural network architecture for denoising and image enhancement using synthetic and real data. The research methodology was based on a ...

• Analysis of the construction of a communication network of the tactical control link based on software-defined radio communication means 

  Radzivilov, H.; Pavliuk, D.; Радзівілов, Г.; Павлюк, Д. (ВНТУ, 2026)

  The purpose of the study was to develop an architectural solution for the construction and management of a tactical communication circuit of the company-battalion-brigade levels based on flexible radio platforms to ensure ...

• A hybrid A-UKF-PINN digital twin architecture for real-time state estimation in Smart Grids 

  Vychuzhanin, V.; Vychuzhanin, A.; Вичужанін, В.; Вичужанін, О. (ВНТУ, 2026)

  The increasing variability, nonlinearity, and real-time operational requirements of Smart Grids (SGs) make static digital models insufficient for reliable state estimation and control of distributed assets such as ...

• Effectiveness of artificial intelligence for test prioritisation in distributed systems of Ukrainian and international software development 

  Zadorozhnii, A.; Задорожній, А. (ВНТУ, 2026)

  The growing complexity of distributed Continuous Integration/Continuous Delivery (CI/CD) systems, and the limited scalability and stability of conventional heuristic methods for test prioritisation, necessitates the ...

• Improving the efficiency of Whisper-based audio stream processing with CTranslate2 and FFMpeg tools 

  Radin, V.; Riabyi, M.; Радін, В.; Рябий, М. (ВНТУ, 2026)

  The relevance of the study lies in the need to increase the performance and scalability of automatic speech recognition systems on devices with limited resources, which determines the goal of the work – to optimise Whisper ...

• Algorithms and software architecture for automated user behaviour analysis in cyber threat detection systems 

  Kovalchuk, D.; Ковальчук, Д. (ВНТУ, 2026)

  The relevance of the present study is determined increasing complexity of cyber threats and the limited effectiveness of traditional detection methods, which necessitates the implementation of intelligent behavioural ...

• Method of dynamic trust assessment in Zero Trust Architecture based on explainable artificial intelligence Метод динамічного оцінювання довіри в архітектурі Zero Trust на основі пояснювального штучного інтелекту 

  Palamarchuk, A.; Паламарчук, А. (ВНТУ, 2026)

  The transformation of contemporary corporate IT infrastructures has rendered conventional cybersecurity models ineffective, prompting a shift to the Zero Trust Architecture (ZTA); however, its practical implementation is ...

• Forecasting of time series using a neural network with parallel-stacked LSTM blocks 

  Futryk, Yu.; Peleshchak, I.; Футрик, Ю.; Пелещак, І. (ВНТУ, 2026)

  Time series forecasting is crucial for supporting decisions in financial analytics, data is characterised by non-linearity, non-stationarity, and high noise levels. The purpose of the study was to determine the effective ...

• Method for protection of unstructured information on modern mobile platforms: Threat modelling and effectiveness analysis 

  Brovchenko, E.; Samaraj, V.; Бровченко, Є.; Самарай, В. (ВНТУ, 2026)

  The study aimed to develop a comprehensive approach to protecting unstructured information on mobile platforms by combining cryptographic algorithms, multi-factor authentication, machine learning methods, and blockchain ...

• Comparative analysis of machine learning algorithms for personalising educational content in distance learning 

  Yanishevskyi, V.; Янішевський, В. (ВНТУ, 2026)

  The aim of this research was to conduct a comprehensive evaluation of the effectiveness of machine learning algorithms for the task of personalised educational content recommendation in distance education systems. The study ...

• Interactive visualisation and analysis of risks with a human factor 

  Trofymchuk, V.; Трофимчук, В. (ВНТУ, 2026)

  The human factor remains one of the key vulnerabilities in modern cybersecurity, which emphasises the importance of analysing user behaviour in risk management systems. This study presents a comprehensive mathematical model ...

• Prompt engineering for large language models in test case generation 

  Husakovskyi, A.; Гусаковський, А. (ВНТУ, 2026)

  The relevance of the study is determined by the need to enhance the effectiveness of software testing, the use of large language models and prompt engineering techniques opens new opportunities for the automated generation ...

• ChaCha: Development and modification of Salsa20 in modern cryptographic systems 

  Palii, O.; Dudnyk, O.; Палій, О.; Дудник, О. (ВНТУ, 2026)

  The study reviewed the ChaCha20 stream cypher as the successor to the Salsa20 algorithm, emphasising development, technical features, and application in modern cryptosystems. The research relevance is determined by the ...

• Evaluating Fast Charging of Electric Vehicles Along Motorways Using Finite Multi-Server Queueing System Simulation 

  Forkaliuk, M. S.; Franzl, G.; Bisikalo, О.; Форкалюк, М. С.; Францл, Г.; Бісікало, О. В. (ВНТУ, 2024)

  Швидкі зарядні станції постійного струму необхідні вздовж автомагістралей, щоб позбавити занепокоєння водіїв щодо поїздок на великі відстані на електромобілях з батареями, оптимізованими для ефективного середнього запасу ...

• Fuzzy-algorithmic analysis of software reliability 

  Rakytianska, Н.; Prus, В.; Ракитянська, Г.; Прус, Б. (ВНТУ, 2025)

  The relevance of the study was due to the need to develop interpretable process-oriented models that allow assessing the growth of the reliability function depending on the distribution of efforts. The aim of the work was ...

• Method for constructing a cognitive map of processes in a dynamic system using cooperation of large language models 

  Varer, B.; Mokin, V.; Варер, Б.; Мокін, В. Б. (ВНТУ, 2025)

  In the context of growing demands for rapid decision-making and in-depth analysis of complex dynamic systems – particularly when available data are limited and the involvement of experienced experts is either impractical or ...

• Use of fuzzy sets in calculating the passenger capacity utilisation rate in conditions where it is impossible to collect objective data 

  Zora, I.; Khoshaba, О.; Хошаба, О. (ВНТУ, 2025)

  Задачі планування організації перевезення пасажирів міським транспортом у сучасних українських умовах стикаються з новими викликами, зокрема зі складністю або навіть неможливістю отримання точних вхідних даних для ...

• Analysis of the impact of cross-platform behaviour on recommendation quality 

  Pakula, A.; Garmash, V. V.; Пакула, А.; Гармаш, В. В. (ВНТУ, 2025)

  Швидке зростання кількості цифрових платформ та різноманітність онлайн-сервісів створюють нові виклики для розробки рекомендаційних систем, які мають враховувати кросплатформну поведінку користувачів для забезпечення ...

• Method of multi-purpose term search in the terminology database 

  Yarovyi, A. А.; Kudriavtsev, D. S.; Яровий, А. А.; Кудрявцев, Д. С. (ВНТУ, 2024)

  This study investigated the method of multi-purpose term search in a terminological knowledge base, which is based on semantic analysis and the use of modern natural language processing methods. The study considered the ...

• Neural network architecture for real-time QR code recognition 

  Serediuk, Hlib; Garmash, Vladimir; Гармаш, В. В.; Сердюк, Г. (ВНТУ, 2024)

  The study investigated modern neural network architectures for efficient real-time recognition of QR codes, which is critical for the development of mobile applications and industrial control systems. The study analysed ...

Переглянути більше