Kupriyanov Alexander Victorovich

Publications in Math-Net.Ru

1. Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia
   
   Computer Optics, 48:2 (2024),  282–293
2. Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework
   
   Computer Optics, 46:4 (2022),  634–642
3. Improving the efficiency of brain MRI image analysis using feature selection
   
   Computer Optics, 46:4 (2022),  621–627
4. Formation of an informative index for recognizing specified objects in hyperspectral data
   
   Computer Optics, 45:6 (2021),  873–878
5. Modification of blurred image matching method
   
   Computer Optics, 44:3 (2020),  441–445
6. Crop growth monitoring through Sentinel and Landsat data based NDVI time-series
   
   Computer Optics, 44:3 (2020),  409–419
7. Method for selection macular edema region using optical coherence tomography data
   
   Computer Optics, 44:2 (2020),  250–258
8. Algorithm of reconstruction of a three-dimensional crystal structure from two-dimensional projections
   
   Computer Optics, 43:2 (2019),  324–331
9. Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina
   
   Computer Optics, 43:2 (2019),  304–315
10. A remote sensing and GIS based approach for land use/cover, inundation and vulnerability analysis in Moscow, Russia
    
    Computer Optics, 43:1 (2019),  90–98
11. Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performanc
    
    Computer Optics, 42:6 (2018),  1035–1045
12. Clustering of media content from social networks using bigdata technology
    
    Computer Optics, 42:5 (2018),  921–927
13. Investigation of algorithms for coagulate arrangement in fundus images
    
    Computer Optics, 42:4 (2018),  712–721
14. Parallel implementation of the informative areas generation method in the spatial spectrum domain
    
    Computer Optics, 41:4 (2017),  585–587
15. Mapping and evaluating urban density patterns in Moscow, Russia
    
    Computer Optics, 41:4 (2017),  528–534
16. Research of an algorithm for crystal lattice parameter identification based on the gradient steepest descent method
    
    Computer Optics, 41:3 (2017),  453–460
17. Vulnerability analysis on Hyderabad city, India
    
    Computer Optics, 40:5 (2016),  752–758
18. Satellite image analysis to evaluate the urban growth and land use changes in the city of Samara from 1975 to 2015
    
    Computer Optics, 39:5 (2015),  818–822
19. Application of fuzzy neural networks for defining crystal lattice types in nanoscale images
    
    Computer Optics, 39:5 (2015),  787–794
20. Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods
    
    Computer Optics, 38:4 (2014),  851–855