The paper is devoted to estimation of the effectiveness of the use of modern convolutional
neural networks for face detection and face recognition. On standard and custom datasets …

The paper discusses promising ways to build an invariant model and an efficient image
search algorithm in Big Image Warehouse. Based on open data using the appropriate …

In the article features of functioning of the most common optical character recognition (OCR)
tools EasyOCR and TesserOCR are considered; experimental analysis of results of work of …

The article is devoted to the analysis of the effectiveness of the application of modern
machine learning models of convolutional neural networks, which are used for image …

Most of the current COVID-19 smart diagnostic systems use convolutional neural networks to
detect foci and classify the stages of the disease on X-rays of the lungs. The conditions for …

The article is devoted to the analysis of social and humanitarian aspects of Information
security of Ukraine. The armed conflict on the territory of Ukraine is considered as an …

The paper is devoted to the problem of developing a generalized algorithm for the effective
identification of computational intelligence models used to recognize emotions by a person's …

Continuous development of big image storage management systems requires development
and introduction of efficient searching and image comparison algorithms. In the scope of this …

This article is an investigation of factors that can affect cryptocurrency price and their usage
in regression models to determine which model type and the algorithm itself is best-suited …

The paper is devoted to the problem of developing information technology for determining
the shoe size by a two-dimensional image. To solve this problem, it was chosen a real data …