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Volodymyr Akhmetov
Volodymyr Akhmetov
Institute of Astronomy Kharkiv National University
astron.kharkov.ua의 이메일 확인됨 - 홈페이지
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Astroinformation resource of the Ukrainian virtual observatory: Joint observational data archive, scientific tasks, and software
IB Vavilova, LK Pakulyak, AA Shlyapnikov, YI Protsyuk, VE Savanevich, ...
Kinematics and Physics of Celestial Bodies 28, 85-102, 2012
1212012
The XPM Catalogue: absolute proper motions of 280 million stars
PN Fedorov, AA Myznikov, VS Akhmetov
Monthly Notices of the Royal Astronomical Society 393 (1), 133-138, 2009
752009
CoLiTecVS software for the automated reduction of photometric observations in CCD-frames
VE Savanevych, SV Khlamov, VS Akhmetov, AB Briukhovetskyi, ...
Astronomy and Computing 40, 100605, 2022
392022
Residual rotation of the Hipparcos/Tycho-2 system as determined from the data of the XPM catalogue
PN Fedorov, VS Akhmetov, VV Bobylev
Monthly Notices of the Royal Astronomical Society 416 (1), 403-408, 2011
382011
Cloud computing analysis of Indian ASAT test on March 27, 2019
V Akhmetov, S Khlamov, V Savanevych, E Dikov
2019 IEEE International Scientific-Practical Conference Problems of …, 2019
322019
New approach for pixelization of big astronomical data for machine vision purpose
V Akhmetov, S Khlamov, I Tabakova, W Hernandez, JIN Hipolito, ...
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019
312019
Fast coordinate cross-match tool for large astronomical catalogue
V Akhmetov, S Khlamov, A Dmytrenko
Conference on Computer Science and Information Technologies, 3-16, 2018
302018
The PMA Catalogue: 420 million positions and absolute proper motions
VS Akhmetov, PN Fedorov, AB Velichko, VM Shulga
Monthly Notices of the Royal Astronomical Society 469 (1), 763-773, 2017
282017
An investigation of the absolute proper motions of the XPM catalogue
PN Fedorov, VS Akhmetov, VV Bobylev, AT Bajkova
Monthly Notices of the Royal Astronomical Society 406 (3), 1734-1744, 2010
282010
Astrometric reduction of the wide-field images
V Akhmetov, S Khlamov, V Khramtsov, A Dmytrenko
Conference on Computer Science and Information Technologies, 896-909, 2019
242019
Candidate subdwarfs and white dwarfs from the 2MASS, Tycho-2, XPM and UCAC3 catalogues
GA Gontcharov, AT Bajkova, PN Fedorov, VS Akhmetov
Monthly Notices of the Royal Astronomical Society 413 (3), 1581-1599, 2011
232011
The XPM catalogue as a realization of the ICRS in optical and near-infrared ranges of wavelengths
PN Fedorov, VS Akhmetov, VV Bobylev, GA Gontcharov
Monthly Notices of the Royal Astronomical Society 415 (1), 665-672, 2011
212011
Deep learning for morphological classification of galaxies from SDSS
V Khramtsov, DV Dobrycheva, MY Vasylenko, VS Akhmetov
Одеські астрономічні публікації 32, 21-23, 2019
152019
Selection of the reference stars for astrometric reduction of CCD-frames
V Savanevych, V Akhmetov, S Khlamov, E Dikov, A Briukhovetskyi, ...
Conference on Computer Science and Information Technologies, 881-895, 2019
152019
Testing stellar proper motions of TGAS stars using data from the HSOY, UCAC5 and PMA catalogues
PN Fedorov, VS Akhmetov, AB Velichko
Monthly Notices of the Royal Astronomical Society 476 (2), 2743-2750, 2018
132018
Kinematics of the Milky Way from the Gaia EDR3 red giants and subgiants
PN Fedorov, VS Akhmetov, AB Velichko, AM Dmytrenko, SI Denischenko
Monthly Notices of the Royal Astronomical Society 508 (2), 3055-3067, 2021
122021
The reference frame for the XPM2
PN Fedorov, VS Akhmetov, VM Shulga
Monthly Notices of the Royal Astronomical Society 440 (1), 624-630, 2014
122014
Dynamical model of an obscuring clumpy torus in AGNs–I. Velocity and velocity dispersion maps for interpretation of ALMA observations
EY Bannikova, AV Sergeyev, NA Akerman, PP Berczik, MV Ishchenko, ...
Monthly Notices of the Royal Astronomical Society 503 (1), 1459-1472, 2021
102021
The Northern Extragalactic WISE× Pan-STARRS (NEWS) catalogue-Machine-learning identification of 40 million extragalactic objects
V Khramtsov, V Akhmetov, P Fedorov
Astronomy & Astrophysics 644, A69, 2020
92020
Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features
V Khramtsov, IB Vavilova, DV Dobrycheva, MY Vasylenko, OV Melnyk, ...
arXiv preprint arXiv:2209.12194, 2022
82022
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