Zobrazeno 1 - 10
of 86
pro vyhledávání: '"MELNYK, O. V."'
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
Akademický článek
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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:
Vavilova, I. B., Dobrycheva, D. V., Vasylenko, M. Yu., Elyiv, A. A., Melnyk, O. V., Khramtsov, V.
Publikováno v:
A&A 648, A122 (2021)
Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results. We present results o
Externí odkaz:
http://arxiv.org/abs/1712.08955
We examine the star formation properties of galaxies with very thin disks selected from the Revised Flat Galaxy Catalog (RFGC). The sample contains 333 ultra-flat galaxies (UFG) at high Galactic latitudes, $|b|>10^{\circ}$, with a blue major angular
Externí odkaz:
http://arxiv.org/abs/1702.00266
We used the Revised Flat Galaxy Catalog (RFGC) to create a sample of ultra-flat galaxies (UFG) covering the whole northern and southern sky apart from the Milky Way zone. It contains 817 spiral galaxies seen edge-on, selected into the UFG sample acco
Externí odkaz:
http://arxiv.org/abs/1602.05368
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:
Astrophysics, 2014, Vol. 57, 1
The star formation rates for the 230 nearest Markarian galaxies with radial velocities V_LG<3500 km/s have been determined from their far ultraviolet fluxes obtained with the GALEX satellite. We briefly discuss the observed relationship between the s
Externí odkaz:
http://arxiv.org/abs/1403.1066