The paper explores the possibility of using a centralized particle swarm algorithm to
distribute subtasks between «s-bot» one «Swarm-bot» system to solve the main problem …

The paper is devoted to estimation of the effectiveness of the use of modern convolutional
neural networks for face detection. On standard open datasets, learning of neural networks …

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 …

Abstract Analytics and Big Data play an important role in the future of higher education. This
paper analyzes and practices the use of e-learning technology tools to provide relevant …

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 …

The article discusses the concept and principles of building unified information space and
presents a scheme for its formation. The article considers formation of unified information …

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 …

The research aims to analyze the effectiveness of the modern machine-learning models
usually used for data classification to detect anti-Ukrainian trolling tweets on Twitter. This …

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

Field-programmable gate array (FPGA) attempts a proper solution for fulfilling the
requirements of high-performance real-time DSP systems. Any IP core based on FPGA has …