Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Oleksandr Striuk"'
Publikováno v:
Green, Blue and Digital Economy Journal, Vol 4, Iss 2 (2023)
Modern trends in economic development, such as globalisation of markets, intensification of competition, changes in consumer demand, shortening of life cycles of goods and technologies, increasing requirements for their quality, and rising costs of u
Externí odkaz:
https://doaj.org/article/bb84da5fe2554aea9cc5016c9cc4d4b6
Autor:
Oleksandr Striuk, Yuriy Kondratenko
Publikováno v:
Journal of Mobile Multimedia.
This article aims to explore and research GANs as a tool for mobile devices that can generate high-resolution images from low-resolution samples and reduce blurring. In addition, the authors also analyse the specifics of GAN, SRGAN, and ESRGAN loss f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b18cbfa936482f4652c7e6a2c6f3665b
https://doi.org/10.13052/jmm1550-4646.1938
https://doi.org/10.13052/jmm1550-4646.1938
Autor:
Oleksandr Striuk, Yuriy P. Kondratenko
Publikováno v:
International Journal of Computing. :339-349
Cross-domain artificial intelligence (AI) frameworks are the keys to amplify progress in science. Cutting edge deep learning methods offer novel opportunities for retrieving, optimizing, and improving different data types. AI techniques provide new w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aa8120161e25762fab0d36adc76a243
https://doi.org/10.47839/ijc.20.3.2278
https://doi.org/10.47839/ijc.20.3.2278
Publikováno v:
2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT).
This paper is focused on studying the Generative Adversarial Neural Network (GAN or GANN) as an implement for creating diverse functional samples, particularly photorealistic images (graphic, molecular, etc.). The paper considers available existing m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c0860a366acf7154d5cfafc1b3faba
https://doi.org/10.1109/atit50783.2020.9349326
https://doi.org/10.1109/atit50783.2020.9349326