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 growing significance of the security and human management fields attracts active
research related to face detection and recognition systems. Among these face detection …

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 …

We develop and apply a deep learning-based computer vision pipeline to automatically
identify crew members in archival photographic imagery taken on-board the International …

COVID-19 has completely startled the education sectors. Educational organisations are
seeking technological innovations to execute their academic activities smoothly eg online …

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 …

The focus of this paper is to analyze the effectiveness of modern machine learning
algorithms in making hiring decisions for a team. By evaluating different criteria for each …

Customer communication is important in maintaining business sustainability, which can be
tremendously improved by market segmentation. Clustering is a powerful tool to carry out …

The paper is devoted to efficiency evaluation of modern deepfake detection models based
on convolutional neural networks (CNN). In the context of rapid development of digital …

The article describes the development of a color image clustering algorithm for a real-time
computer vision and AI system. An important feature of the algorithm is the preliminary use of …