Papers

  • Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software, Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics, pp. 331-345, 2020. DOI: 10.1016/B978-0-12-819154-5.00030-8
  • A new method based on the subpixel Gaussian model for accurate estimation of asteroid coordinates, Monthly Notices of the Royal Astronomical Society, vol. 451 (3), pp. 3287-3298, 2015. DOI: 10.1093/mnras/stv1124
  • A method of immediate detection of objects with a near-zero apparent motion in series of CCD-frames, Astronomy & Astrophysics, vol. 609 (A54), 11 p., 2018. DOI: 10.1051/0004-6361/201630323
  • CoLiTecVS software for the automated reduction of photometric observations in CCD-frames, Astronomy and Computing, vol. 40 (100605), 15 p., 2022. DOI: 10.1016/j.ascom.2022.100605
  • Comparative analysis of the positional accuracy of CCD measurements of small bodies in the solar system software CoLiTec and Astrometrica, Kinematics and Physics of Celestial Bodies, vol. 31 (6), pp. 302-313, 2015. DOI: 10.3103/S0884591315060045
  • Selection of the reference stars for astrometric reduction of CCD-frames, Advances in Intelligent Systems and Computing, vol. 1080, pp. 881-895, 2020. DOI: 10.1007/978-3-030-33695-0_57
  • Mathematical methods for an accurate navigation of the robotic telescopes, Mathematics, vol. 11 (10), 2246, 2023. DOI: 10.3390/math11102246
  • Method of maximum likelihood estimation of compact group objects location on CCD-frame, Eastern-European Journal of Enterprise Technologies, vol. 5 (4 – 71), pp. 16-22, 2014. DOI: 10.15587/1729-4061.2014.28028
  • Development of computational method for matched filtration with analytic profile of the blurred digital image, Eastern-European Journal of Enterprise Technologies, vol. 5 (4 – 119), pp. 24-32, 2022. DOI: 10.15587/1729-4061.2022.265309
  • Formation of a typical form of an object image in a series of digital frames, Eastern-European Journal of Enterprise Technologies, vol. 6 (2 – 120), pp. 51-59, 2022. DOI: 10.15587/1729-4061.2022.266988
  • CoLiTec Software for the Astronomical Data Sets Processing, IEEE International Conference on Data Stream Mining and Processing (DSMP) , 8478504, pp. 227-230, 2018. DOI: 10.1109/DSMP.2018.8478504
  • Data Mining of the Astronomical Images by the CoLiTec Software, CEUR Workshop Proceedings, vol. 3171, pp. 1043-1055, 2022. http://ceur-ws.org/Vol-3171

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