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 …

To control uncertain strict-feedback chaotic systems, the adaptive backstepping technique is
a popular method, yet this method requires repeatedly differentiating virtual control inputs …

Digitalization in medicine has become one of the largest gaps in almost all healthcare
systems in the world. Diabetes remains one of the pressing health problems. According to …

The high rates of development of information technologies today have led to the fact that
large amounts of information have been accumulated in various databases. The issue of …

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

Neuro-fuzzy models of management nowadays are becoming more widespread in various
industries. Many papers deal with the synthesis of neuro-fuzzy models of diagnostics in …

Sustainable development of the Smart Cities and Smart Regions concept is impossible
without the development of a modern transport infrastructure, which must be maintained in …

Backstepping is a popular control method for uncertain pure-feedback nonlinear systems
(PFNSs). However, it usually suffers from the “complexity explosion problem” caused by …

Economic expediency encourages mobile operators to deploy 5G networks in places with a
high concentration of speed-demanding subscribers. In such conditions, sharp fluctuations …