Анотація This paper explores the potential of using convolutional neural networks (CNN) for
emotion recognition in marketing research of advertising. Discusses how CNN can be …

Анотація The paper deals with the actual tasks of computer vision–recognition and
classification of objects in images. Deep learning methods based on neural networks are …

Анотація This paper explores the possibility of using various convolutional neural network
models to recognize handwritten Arabic characters. It discusses which of the existing …

The research aims to improve the performance of image recognition methods based on a
description in the form of a set of keypoint descriptors. The main focus is on increasing the …

Анотація The article develops methods to solve a fundamental problem in computer vision:
image recognition of visual objects. The results of the research on the construction of …

Анотація This paper explores the classification of video data with convolutional neural
networks. It discusses how convolutional neural network architecture can do this task with …

The research aims to improve structural methods of image classification based on a
description as a set of keypoint descriptors. The focus is on implementing a classifier training …

The subject matter of the article is methods of detecting spectral anomalies on images from
remote sensing systems. The goal is to conduct a comparative analysis of methods for …

Анотація The research is devoted to the analysis of modern methods of optimizing the
performance of the server part of information systems, which help to increase the speed of …

In recent years, the field of computer vision has undergone a transformative evolution,
largely driven by the emergence of Convolutional Neural Networks (CNNs). These …