Today's world faces a serious public health problem with cancer. One type of cancer that
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …

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 …

Short-term load forecasting is viewed as one promising technology for demand prediction
under the most critical inputs for the promising arrangement of power plant units. Thus, it is …

This paper deals with an investigation centered on developing a real estate app on the basis
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …

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 …

The electrical market scenario has changed drastically in the last decade. In the presence of
increased competition and less tolerant players, more sophisticated methods are required to …

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 …

In this article, the concept (ie, the mathematical model and methods) of computational
phonetic analysis of speech with an analytical description of the phenomenon of phonetic …

The paper investigates the problem of data normalization in solving medical diagnostics
tasks by machine learning algorithms. The authors describe five different data normalization …