Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …

The aim of the research is to improve the effectiveness of image recognition methods
according to the description in the form of a set of keypoint descriptors. The focus is on …

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 …

Gorokhovatskyi V. Identification of visual objects by the search request. International
scientific symposium «INTELLIGENT SOLUTIONS-S»/Gorokhovatskyi V., Tvoroshenko …

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 …

As the world witnesses a surge in the adoption of renewable energy sources to meet the
surging global power demands, the dynamic and intermittent nature of these sources …

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 …