Zobrazeno 1 - 10
of 1 070
pro vyhledávání: '"Melnyk O"'
Publikováno v:
International Journal of Innovative Technologies in Economy, Iss 2(42) (2023)
The article deals with the main problems generated by migration processes. The causes of the migration crisis and current migration features are indicated. The necessity of migration processes managing aimed at migrants’ integration acceleration in
Externí odkaz:
https://doaj.org/article/68572124ad8345ca9916434208c4f6af
Autor:
Melnyk O. V.
Publikováno v:
Вісник Уманського національного університету садівництва, Vol 1, Pp 102-107 (2021)
An anti-hail net is an effective protection of fruit orchards from hail, sunburn and bird damage. The grid slightly changes the microclimate of plantations and, as a consequence, the activity of tree growth. The purpose of the study was to evaluate
Externí odkaz:
https://doaj.org/article/a69d4515649d46df89c537951cfe5c01
Publikováno v:
Журнал інженерних наук, Vol 8, Iss 2, Pp D12-D17 (2021)
One of the urgent problems of mechanics is to design a lightweight, compact and precise reducer with high efficiency since it is an essential part of the robot actuators. The manufacture of modern toy robots made as Pet-models requires highly efficie
Externí odkaz:
https://doaj.org/article/72e3cb56128547d8993c84fdae7c9777
Publikováno v:
Folia Veterinaria, Vol 61, Iss 1, Pp 66-72 (2017)
Despite the obvious existence of guttural pouches in Equidae, the question of their function has not yet been adequately answered. We suggest a working hypothesis that the guttural pouches of horses may be an additional organ of gas exchange. Researc
Externí odkaz:
https://doaj.org/article/373c4daceee5495aacbf6085f773fc04
Autor:
Khramtsov, V., Vavilova, I. B., Dobrycheva, D. V., Vasylenko, M. Yu., Melnyk, O. V., Elyiv, A. A., Akhmetov, V. S., Dmytrenko, A. M.
Publikováno v:
Space Science and Technology, 2022
This paper follows series of our works on the applicability of various machine learning methods to the morphological galaxy classification (Vavilova et al., 2021, 2022). We exploited the sample of 315776 SDSS DR9 galaxies with absolute stellar magnit
Externí odkaz:
http://arxiv.org/abs/2209.12194
Autor:
Vavilova, I. B., Khramtsov, V., Dobrycheva, D. V., Vasylenko, M. Yu., Elyiv, A. A., Melnyk, O. V.
Publikováno v:
Space Sci. & Technol. 2022; 28(1):03-22
We applied the image-based approach with a convolutional neural network model to the sample of low-redshifts galaxies with $-24^{m}
Externí odkaz:
http://arxiv.org/abs/2203.06373
We use the data of modern digital sky surveys (PanSTARRS-1, SDSS) combined with HI-line and far ultraviolet (GALEX) surveys to reclassify 165 early-type galaxies from the Catalog of Isolated Galaxies (KIG). As a result, the number of E- and S0-type g
Externí odkaz:
http://arxiv.org/abs/2104.06743
Publikováno v:
A&A 635, A124 (2020)
Quickly growing computing facilities and an increasing number of extragalactic observations encourage the application of data-driven approaches to uncover hidden relations from astronomical data. In this work we raise the problem of distance reconstr
Externí odkaz:
http://arxiv.org/abs/1910.07317
Akademický článek
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Autor:
Chiappetti, L., Fotopoulou, S., Lidman, C., Faccioli, L., Pacaud, F., Elyiv, A., Paltani, S., Pierre, M., Plionis, M., Adami, C., Alis, S., Altieri, B., Baldry, I., Bolzonella, M., Bongiorno, A., Brown, M., Driver, S., Elmer, E., Franzetti, P., Grootes, M., Guglielmo, V., Iovino, A., Koulouridis, E., Lefevre, J. P., Liske, J., Maurogordato, S., Melnyk, O., Owers, M., Poggianti, B., Polletta, M., Pompei, E., Ponman, T., Robotham, A., Sadibekova, T., Tuffs, R., Valtchanov, I., Vignali, C., Wagner, G.
We present the version of the point source catalogue of the XXL Survey that was used, in part, in the first series of XXL papers. In this paper we release, in our database in Milan and at CDS: (i) the X-ray source catalogue with 26056 objects in two
Externí odkaz:
http://arxiv.org/abs/1810.03929