ElAr KhNURE:: Головна

ISSN: 2310-8061

Репозиторій Харківського національного університету радіоелектроніки «ElAr КhNURE» є електронною платформою, що містить публікації наукових праць та досліджень науково-педагогічних працівників, інших співробітників, здобувачів вищої освіти ХНУРЕ. Серед них монографії, статті з наукових журналів та збірників, матеріали науково-практичних заходів, наукові публікації (розміщуються за умови наявності рецензії наукового керівника) та кваліфікаційні роботи здобувачів вищої освіти (розміщуються за дозволом автора КвР).

З усіх питань звертатися до адміністратора ElAr KhNURE за адресою: yuliia.derevianko@nure.ua

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Останні подання

Current trends in the art book market in Ukraine
(2026) Chebotarova, I.; Terebii, I.
The artbook market in Ukraine is growing, although it still remains not over-saturated. After a significant decline in 2022 caused by the full-scale war, Ukraine’s publishing industry, while undergoing major changes, continues to demonstrate steady growth. According to the State Committee for Television and Radio-broadcasting, the number of printed publications in 2023 increased by 73% compared to 2022, while print runs grew by 203%. In 2024, the book market grew by 21% of the annual print run compared to the previous year.
Selection and justification of software for the design of a university department history website
(2026) Chebotarova, I.; Kriachko, M.
Generative artificial intelligence has rapidly transformed the toolset of mod-ern web and interface design. Throughout 2025–2026, a new generation of AI-powered design tools has entered the market. They allow designers to move from static mock-ups to so-called “prompt-first” design, in which functional web interfaces are generated directly from natural-language descriptions. The choice of an appropriate tool has therefore become a key methodological decision for any design project
The use of procedural modelling in the creation of 3D objects
(2026) Dzenis, Y.; Vovk, O.
Conventional methods of manually modelling complex 3D objects are time-consuming and resource-intensive. Automated approaches, particularly procedural modelling, enable geometry to be generated using algorithms and formal rules. This method is effective for creating large, detailed scenes with repetitive or hierarchical structures, such as buildings, vegetation or ur-ban environments.
The digital palette of the future: the evolution of the artist’s role in the era of neural networks
(2026) Chebotarova, I.; Khovanets, A.
The rapid integration of generative artificial intelligence (GenAI) into the visual arts has ushered in a new era, comparable in scale to the invention of photography in the 19th century. Technologies based on diffusion model architectures and Generative Adversarial Networks (GANs) have ceased to be merely tools of automation. Today, they act as full-fledged co-creators, radically reshaping the landscape of digital creativity. This paper is dedicated to exploring the transformation of the artist’s identity: from a creator-executor to a curator of algorithmic processes.
The influence of color in beauty salon branding
(2026) Chebotarova, I.; Cherkashyna, H.
In today’s highly competitive beauty industry, branding serves as a key tool for shaping a unique image of a business and attracting clients. One of the most important elements of branding is color, which directly influences emotional perception, consumer behavior, and their decision when choos-ing services. This issue is especially relevant in the process of redesigning beauty salons, where a color strategy can significantly transform a brand’s market positioning.