федеральное государственное автономное образовательное учреждение высшего образования
«Самарский национальный исследовательский университет имени академика С.П. Королева»

Kravtsova, Natalia S.

  • Department of Technical Cybernetics, engineer
  • Department of Technical Cybernetics, researcher
  • Institute of Further Education, specialist
2020
  • 1 Khotilin M. I. , Kravtsova N., Rycarev I. A. etc. Classification of objects of natural hyperspectral images // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
2019
  • 1 Khotilin M. I. , Kravtsova N.S., Kupriyanov A.V. etc. Restoration of images of social networks that have undergone processing, on the example of the social network Instagram // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 566-569
2018
  • 1 Paringer R., Boori M.S., Donon Y. etc. Development of technology for the identification of model parameters for dendritic structures images // 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018. — 2018. — P. 84-88
  • 2 Khotilin M. I. , Paringer R.A., Rycarev I. A. etc. Technology for automatically characterizing the primary colors of the image and counting the number of objects // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 251-256
  • 3 Rycarev I. A. , Kozlov D. D. , Kravtsova N.S. etc. Application of the principal component analysis to detect semantic differences during the content analysis of social networks // CEUR Workshop Proceedings. — 2018. — Vol. 2212. — P. 262-269
2017
  • 1 Kravtsova N.S., Paringer R.A., Kupriyanov A.V. Parallel implementation of the informative areas generation method in the spatial spectrum domain // Computer Optics 2017. — Vol. 41. Issue 4. — P. 585-587
  • 2 Kravtsova N., Paringer R., Kupriyanov A. Development of parallel implementation of the informative areas generation method in the spatial spectrum domain // CEUR Workshop Proceedings. — 2017. — Vol. 1902. — P. 51-54
2016
  • 1 Kravtsova N., Paringer R., Kupriyanov A. Development of methods for crystallogramms images classification based on technique of detection informative areas in the spectral space // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 357-363