Logical classification methods normally involve the compilation and solution of logical
equations with variables that take values of 1 and 0, depending on whether the given object …

Face Recognition is considered a biometric technique where it is capable of uniquely
identifying and verifying a person just by analysing and comparing the facial patterns on the …

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

Biometric methods of authentication, such as recognition by face, fingerprint, voice, are
gaining wide popularity in today's world. Because they often become a vital necessity. First …

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 …

This paper describes approaches to forecast Ethereum price based on regression analysis
which are based on defined in this research list of factors which may affect price. These …

Machine learning is continuously increasing day by day and solving many human-
generated problems, it is making easier the work burden of human beings. Recent research …

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 …