Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kateryna Melnykova"'
Autor:
Tetiana Kolodizieva, Elina Zhelezniakova, Kateryna Melnykova, Viktoriia Pysmak, Oleh Kolodiziev
Publikováno v:
Problems and Perspectives in Management, Vol 20, Iss 3, Pp 552-576 (2022)
Improving the logistics service quality (LSQ) requires its assessment to identify appropriate reserves, which actualizes the scientific task of improving the appropriate methodological support for LSQ assessment. The purpose of this paper is to devel
Externí odkaz:
https://doaj.org/article/ca4b85c0d9c1462a86dcf20e959cab8e
Publikováno v:
Agricultural and Resource Economics, Vol 6, Iss 3, Pp 96-111 (2020)
Purpose. The purpose of the article is to determine the prospects of deep processing of corn in Ukraine, taking into account the restraining factors of development, on the basis of the analysis of the state and tendencies of functioning of the world
Externí odkaz:
https://doaj.org/article/2f9882be23f044f1bb01a137adb2c3d9
Autor:
Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova, Khrystyna Lishchuk-Yakymovych
Publikováno v:
Big Data and Cognitive Computing, Vol 5, Iss 3, p 37 (2021)
The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, wh
Externí odkaz:
https://doaj.org/article/15d4e8230af3414ba595b2eb6c57f40e
Publikováno v:
Agricultural and Resource Economics, Vol 6, Iss 3, Pp 96-111 (2020)
Purpose. The purpose of the article is to determine the prospects of deep processing of corn in Ukraine, taking into account the restraining factors of development, on the basis of the analysis of the state and tendencies of functioning of the world
Autor:
Kateryna Melnykova, Khrystyna Lishchuk-Yakymovych, Nataliya Shakhovska, Nataliia Melnykova, Volodymyr Melnykov
Publikováno v:
Big Data and Cognitive Computing, Vol 5, Iss 37, p 37 (2021)
Big Data and Cognitive Computing
Volume 5
Issue 3
Big Data and Cognitive Computing
Volume 5
Issue 3
The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, wh
Autor:
Ozgur Yilmaz, Kateryna Melnykova
Memoryless scalar quantization (MSQ) is a common technique to quantize frame coefficients of signals (which are used as a model for generalized linear samples), making them compatible with our digital technology. The process of quantization is genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff66e2b64b9e766a9a569a159530e762
http://arxiv.org/abs/1804.02839
http://arxiv.org/abs/1804.02839