Data normalization is a data preprocessing task and one of the first to be performed during
intellectual analysis, particularly in the case of tabular data. The importance of its …

The article develops a technology for finding tweet trends based on clustering, which forms a
data stream in the form of short representations of clusters and their popularity for further …

Artificial intelligence (AI) and machine learning (ML) techniques are transforming building
engineering. This work goes through the critical role of architectural parameters in …

Deep neural networks (DNNs), the integration of neural networks (NNs) and deep learning
(DL), have proven highly efficient in executing numerous complex tasks, such as data and …

The production of biocompatible medical implants is accompanied by technological and
time costs. As a result, to be used in the human body, such a product must be of the highest …

In semisupervised fuzzy clustering, this article extends the traditional pairwise constraint (ie,
must-link or cannot-link) to fuzzy pairwise constraint. The fuzzy pairwise constraint allows a …

Abstract Facial Expression Recognition (FER) models have received special attention in the
field of computer vision and provide the basis for many real-time applications. This article …

We present the materials of analytical review of modern scientific literature, which deals with
the interaction of polarized radiation with phase-inhomogeneous and optically anisotropic …

The paper explored the problem of automatic diagnosis based on immunohistochemical
image analysis. The issue of automated diagnosis is a preliminary and advisory statement …

The potential of nanotechnology to improve human health, optimize natural resource
utilization, and reduce environmental pollution is remarkable. With the ever-growing …