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Extraction of Human Body Parts in Image Using Convolutional Neural Network and Attention Model and attention model. The novelty of the proposed work is that algorithm is based on a convolutional neural

Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network of a healthy person and with the presence of COVID-19. The method is a trainable convolutional neural

Compressing a convolution neural network based on quantization. In this paper we experimentally investigate approaches to compression of convolutional neural network

Theory of vibronic optical spectra of impurity centers with violation of the Condon approximation to the Schrödinger equation for an electronic subsystem has been considered to the first order of the perturbation

Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image ProcessingMultilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image

3D Molecular Representations Based on the Wave Transform for Convolutional Neural Networks© 2018 American Chemical Society. Convolutional neural networks (CNN) have been successfully used

Agricultural Fields Segmentation on Satellite Images Using Convolutional Neural NetworksAgricultural fields segmentation algorithms in satellite images are presented. Three convolutional

Convolution Algorithm for Evaluation of Probabilistic Characteristics of Resource Loss Systems with SignalsLS without signals at the departure instants. In the paper, we develop an efficient convolution algorithm

MARCINKIEWICZ-TYPE INTERPOLATION THEOREM AND ESTIMATES FOR CONVOLUTIONS FOR MORREY-TYPE SPACES is then applied to obtaining a Young-O'Neil-type inequality for the convolution operator in Morrey-type spaces.

Convolutional neural networks and face recognition task detector. On the next stage we use convolutional neural networks (CNN) to finally solve face recognition

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