Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Volodymyr Hrytsyk"'
Autor:
Volodymyr Hrytsyk, Mariia Nazarkevych
Publikováno v:
Кібербезпека: освіта, наука, техніка, Vol 1, Iss 13, Pp 102-112 (2021)
Сьогодні, в епоху пандемії Covid’19 люди повинні планувати своє майбутнє з урахуванням специфіки нових відношень – нової специфіки комуні
Externí odkaz:
https://doaj.org/article/688eda03ce8c4d00a0d47035175c1df6
Autor:
Yaroslav Voznyi, Mariia Nazarkevych, Volodymyr Hrytsyk, Nataliia Lotoshynska, Bohdana Havrysh
Publikováno v:
Кібербезпека: освіта, наука, техніка, Vol 4, Iss 12, Pp 85-95 (2021)
Розглянуто метод біометричної ідентифікації, призначений для забезпечення захисту конфіденційної інформації. Запропоновано метод кла
Externí odkaz:
https://doaj.org/article/bfde96a5f0d745209ff7aefd440e9b32
Publikováno v:
Кібербезпека: освіта, наука, техніка, Vol 4, Iss 8, Pp 149-164 (2020)
Сьогодні, в епоху інтеграції систем штучного інтелекту майже в кожній галузі при впровадженні в системи підтримки прийняття рішень дуж
Externí odkaz:
https://doaj.org/article/2abc6e86b11b4b7da85c0f92733bab73
Publikováno v:
Symmetry, Vol 14, Iss 5, p 903 (2022)
The aim of this work is to study the influence of lighting on different types of filters in order to create adaptive systems of perception in the visible spectrum. This problem is solved by estimating symmetry operations (operations responsible for i
Externí odkaz:
https://doaj.org/article/def8f325e9ff4d4ba6d12074d63d8121
Autor:
Serhii Yevseiev, Ruslan Hryshchuk, Kateryna Molodetska, Mariia Nazarkevych, Volodymyr Hrytsyk, Oleksandr Milov, Olha Korol, Stanislav Milevskyi, Roman Korolev, Serhii Pohasii, Andrii Tkachov, Yevgen Melenti, Oleksandr Lavrut, Alla Havrylova, Serhii Herasуmov, Halyna Holotaistrova, Dmytro Avramenko, Roman Vozniak, Oleksandr Voitko, Kseniia Yerhidzei, Serhii Mykus, Yurii Pribyliev, Olena Akhiiezer, Mykhailo Shyshkin, Ivan Opirskyy, Oleh Harasymchuk, Olha Mykhaylova, Yuriy Nakonechnyy, Marta Stakhiv, Bogdan Tomashevsky
The development of Industry 4.0 technologies is based on the rapid growth of the computing capabilities of mobile wireless technologies, which has made it possible to significantly expand the range of digital services and form a conglomeration of soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::2d41d01dd46d1fb849aa56c389266da5
https://zenodo.org/record/7019277
https://zenodo.org/record/7019277
Autor:
Mariia Nazarkevych, Volodymyr Hrytsyk
Publikováno v:
Cybersecurity: Education, Science, Technique. 1:102-112
Today, in the era of the Covid’19 pandemic, people need to plan their future taking into account the specifics of new relationships - the new specifics of communications, work organization, and so on. Each industry has both common problems and its
Autor:
Irina Scherbina, Volodymyr Hrytsyk
Publikováno v:
International scientific and technical conference Information technologies in metallurgy and machine building. :228-230
To classify objects, you need to get an image description with so many possible descriptions that it is pointless to take each as a separate class.A partial task of this problem is to divide the image into segments. Since there is no common method fo
Publikováno v:
Cybersecurity: Education, Science, Technique. 4:149-164
Today, in an era of integration of artificial intelligence systems in almost every industry, very demand are studies of classification methods that, prior to their introduction into decision support systems. Compare analysis of the secant planes meth
Autor:
Mariia Nazarkevych, Volodymyr Hrytsyk
Publikováno v:
Lecture Notes in Computational Intelligence and Decision Making ISBN: 9783030820138
Automatically recognition and classification of biological objects under microscope methods are shown in paper. Problem of separated of white-black and color images is studied. Method of separation of different type of objects (visual diapason of spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ac8ed5c3762e354dc07497547f0b15b
https://doi.org/10.1007/978-3-030-82014-5_39
https://doi.org/10.1007/978-3-030-82014-5_39
Autor:
Nataliia Lotoshynska, Mariya Nazarkevych, Ivanna Klyujnyk, Bohdana Havrysh, Yaroslav Voznyi, Volodymyr Hrytsyk
Publikováno v:
2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT).
The method of biometric prints classification by means of machine learning is offered. The “k-means” method was used to identify biometric images. Labeled sample data for learning and testing processes are generated. Experimental results point to