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 problem of effective intellectual analysis in the case of handling short datasets is topical
in various application areas. Such problems arise in medicine, economics, materials …

A small data approach is an important area of research in the medical field. Many tasks in
this area require the development of such direction due to the high cost of obtaining dataset …

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 …

Currently, operational safety is the most important characteristic of modern technical systems
[19, 3, 48], which involves the analysis of failures and their consequences [21, 4, 30, 20]. The …

In recent years, machine-learning-based approaches have become of considerable interest
to the efficient processing of short or limited data samples. Its so-called small data approach …

Material defects (MD) represent a primary challenge affecting product performance and
giving rise to safety issues in related products. The rapid and accurate identification and …

A survey of consumers' opinions of women's clothing was obtained from reviews and
comments during online sales. The high popularity of clothing and footwear as a segment of …

As wind and photovoltaic energy become more prevalent, the optimization of power systems
is becoming increasingly crucial. The current state of research in renewable generation and …

The aim of this paper is to introduce the time management tools that we can use to combat
procrastination. The work is mainly focused on these two characteristics. The purpose is to …