• DEVELOPMENT OF AN EVALUATION METHOD USING A COMBINED CAT SWARM OPTIMIZATION ALGORITHM 

  Tarkhan, A.В.; Kuchuk, H.; Stanovska, I.; Zvershkhovskyi, I.; Fysiuk, A. (2024)

  The object of the study is complex dynamic objects with a hierarchical structure. The problem solved in the study is to increase the efficiency of decision-making while ensuring the given reliability. The subject of the ...
• EXPANSION OF THE MATHEMATICAL APPARATUS OF DISCRETE-CONTINUOUS NETWORKS FOR THE AUTOMATION OF THEIR SYNTHESIS PROCEDURES 

  Gurskiy, A.A.; Denisenko, A.V.; Goncharenko, A.E. (2024)

  The paper deals with a model of an intelligent system related to the automatic synthesis of Petri nets and presents a certain stage of developing this model. The peculiarity of the extended mathematical apparatus is that ...
• Development of the Regulatory Framework for Market Integration in the Context of Economic Globalisation 

  Karpenko, L.; Morozov, V.; Bordun-Komar, N.; Romanenko, O.; Shevchenko, I. (2024)

  The contemporary global economic system involves a dynamic interplay between globalization and national interests, with market integration and regulatory frameworks playing a crucial role. The significance of this ...
• LaMa network architecture search for image inpainting 

  Kolodochka, D.; Polyakova, M.; Nesteriuk, O.; Makarichev, V. (2024)

  The neural architecture search problem is to obtain a neural network architecture with a version of the selected block that has the best performance according to a pre-selected evaluation strategy compared to other ...
• Wavelet transform based optimization method for ThreeDimensional computer vision 

  Antoshchuk, S.; Shcherbakova, G.; Kondratyev, S.; Koshutina, D.; Usov, O. (2024)

  This work aims to develop approximate depth estimation methods for three-dimensional computer vision in unmanned vehicles (UVs) based on a developed wavelet transformation-based optimization method. This method can assess ...
• Intelligent information technology for multi-criteria vulnerability assessment of gas stations to the main types of accidents 

  Arsirii, O.; Ivanov, O.; Smyk, S.; Oliinyk, V.; Bieliaiev, K. (2024)

  The paper considers the creation of intelligent information technology (IT) for multi-criteria vulnerability assessment of gas stations (GSs) to the main types of accidents. The proposed IT consists of 10 consecutive stages. ...
• Improving measurements accuracy in weight-in-motion systems using dynamic neural networks 

  Fomin, O.; Polozhaenko, S.; Bidyuk, P.; Tataryn, O.; Prokofiev, A. (2024)

  The work is devoted to the problem of weighing vehicles in motion as part of modern information technologies and automated intelligent systems of managing urban resources and infrastructure. The purpose of this work is ...
• Swarm optimization of the drone s intelligent control system: comparative analysis of hybrid techniques 

  Kozlov, O.; Kondratenko, G.; Aleksieieva, A.; Maksymov, M.; Tarakhtij, O. (2024)

  Over recent years, bioinspired swarm techniques have gained significant popularity for addressing realworld engineering optimization challenges. One promising application of these methods is developing and optimizing of ...
• Securing microservices: challenges and best practices 

  Volkov, D.; Liubchenko, V. (2024)

  The research studies the security challenges and best practices in microservice architecture, emphasising the need for new security approaches due to their distributed nature. It reviews existing literature, highlighting ...
• Large language models for processing and intellectual large volumes heterogeneous texts analysis with identifying bots in social networks 

  Rudnichenko, N.; Vychuzhanin, V.; Simanenkov, A.; Shvedov, D.; Petrov, I. (2024)

  The paper describes the problems of analyzing and processing large volumes of heterogeneous texts in natural language in the task of identifying bots in social networks based on deep transfer learning methods, in particular ...
• Artificial intelligence Integration in the diagnosis, prognosis and diabetic neovascular glaucoma treatment 

  Vychuzhanin, V.; Rudnichenko, N.; Guzun, O.; Korol, A.; Gritsuk, I. (2024)

  This work is focused on key aspects of the diagnosis, prognosis and treatment of neovascular glaucoma of diabetic origin based on machine learning approaches and, in particular, various architectures artificial neural ...
• DESIGN OF AN INTELLIGENT DATA ANALYSIS PLATFORM FOR PHARMACEUTICAL FORECASTS 

  Sokolovska, Z.; Ivchenko, I.; Ivchenko, O. (2024)

  This study considers the task to design a data analysis platform with predictive capabilities of neural networks. The object of research is intelligent decision-making systems built on deep learning methods. The proposed ...
• The art of war: examining the visual narratives of Ukrainian video games 

  Zinovieva, T. (2024)

  This article focuses on the visual narratives of Ukrainian war-themed video games, analysing how they depict the Russia-Ukraine war and contribute to the national narrative of resistance and resilience. Using cultural, ...
• THE DEVELOPMENT OF A METHOD FOR INCREASING THE RELIABILITY OF THE ASSESSMENT OF THE STATE OF THE OBJECT 

  Alkhafaji, M.J.A.; Kuchuk, N.; Stanovska, I.; Nikitin, D.; Rybitskyi, O. (2024)

  The object of the research is assessment of object with different degrees of embedded-ness. The subject of the research is the pro-cess of assessing the state of objects using the apparatus of neuro-fuzzy expert systems, ...
• DEVELOPMENT OF A NEURAL NETWORK WITH A LAYER OF TRAINABLE ACTIVATION FUNCTIONS FOR THE SECOND STAGE OF THE ENSEMBLE CLASSIFIER WITH STACKING 

  Galchonkov, O.; Baranov, O.; Antoshchuk, S.; Maslov, O.; Babych, M. (2024)

  One of the promising directions for improv-ing the quality of object recognition in images and parallelizing calculations is the use of ensemble classifiers with stacking. A neural network at the second level makes it ...
• Evaluating Software Architecture: A Systematic Mapping Study on Design Metrics and Their Applications 

  Liubchenko, V. (2024)

  Architectural design is pivotal in software development, shaping system functionality and behaviour. This study consolidates experiences with architectural design metrics to enhance software development processes and ...
• Analysis of the Impact of Economic Initiatives on Business in Europe and Ukraine: Opportunities and Challenges 

  Antonenko, K.; Mozharskyi, B.; Chernyaha, L.; Zelinskyi, Y.-V.; Bavyko, O. (2024)

  The analysis of economic growth programmes in Europe and Ukraine is crucial for assessing the successes and challenges faced by enterprises in these regions. This study aims to analyse strategies aimed at stimulating economic ...
• Clinical and morphometric features in cervical spine pathology in humans and animals 

  Andreeva, T.O.; Stoyanov, O.M.; Mirdjuraev, E.M.; Vastyanov, R.S.; Dariy, V.I. (2024)

  Background. The neck, its bone-cartilaginous and muscle apparatus, etc. high activity is well known. Cervical spine degenerative-dystrophic processes are considered to be an urgent problem. The purpose of the study was to ...
• Pulmonotoxic xenobiotics and methods of their determination in ambient air of nuclear power plant equipment 

  Zaitsev, A.S.; Pulyk, O.R.; Vastyanov, R.S.; Maidanyuk, V.Р.; Zaitsev, S.V. (2024)

  Aim: To identify appropriate methods for determining the content of radioactive and non-radioactive pulmotoxic xenobiotics in the ambient air of NPP equipment to ensure its reliability, radiation and environmental safety, ...
• Algorithms for reliable permutation transmission protocols in noisy communication channels 

  Faure, E.; Baikenov, A.; Skutskyi, A.; Faure, D.; Abramkina, O. (2024)

  The existing approaches to frame synchronization of non-separable factorial code, as well as the reliable transmission of its codewords, form the basis for creating a protocol for reliable permutation transmission in ...

View more