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Experientia est optima magistra. С. 111-113. Image as competitiveness factor of a companyExperientia est optima magistra. С. 111-113. Image as competitiveness factor of a company
Experientia est optima magistra. С. 111-113. Image as competitiveness factor of a companyExperientia est optima magistra. С. 111-113. Image as competitiveness factor of a company
Experientia est optima magistra. С. 111-113. Image as competitiveness factor of a companyExperientia est optima magistra. С. 111-113. Image as competitiveness factor of a company
Convolutional Neural Networks for Image Steganalysis visual cortex. In this research, we propose a new approach to performing steganalysis on JPEG images
Urban areas analysis using satellite image segmentation and deep neural network for automatically extracting the locations of buildings from high-resolution aerial images. To analyze the quality
Small Image Training Sets: Exploring the Limits of Conventional and CNN-based MethodsThis work is dedicated to the problem of image classification under the condition of small image
3D TIRF microscopy: Combination of the total internal reflection fluorescence microscopy and ultramicrotomy techniques, in particular, methods of three-dimensional (3D) analysis and imaging of the ultrastructure of biological
Microstructure image processing with automatic analyzer tools imageexpertpro 3", "Spectral filter - stat. differentiation" and "Qualitative filters". AIA Image ExpertPro-3. The choice
Depth and Perspective Perception of Flat Images in Static and Dynamic Visual Scenes perspective of 2D images (3D phenomenon), and a binocular eye tracker. The 3D phenomenon is identified using 3
Red sparrow: Images of the cold war in American cinematography [«Красный воробей»: образы Холодной войны в американском кинематографе]The image of Russia and Russian people in American cinematography of the period from 1946 till now
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