Today, the field of biomedical engineering spans numerous areas of scientific research that
grapple with the challenges of intelligent analysis of small datasets. Analyzing such datasets …

We live in the era of large data analysis, where processing vast datasets has become
essential for uncovering valuable insights across various domains of our lives. Machine …

Adaptive combined models of hybrid and selective types for prediction of time series on the
basis of a program set of adaptive polynomial models of various orders were offered …

Описані методи можуть бути використані для задачі формування науково-
дослідницьких груп та виявлення подібностей між фрагментами текстової інформації на …

This paper formalizes the model of choosing a strategy for reducing air pollution in an urban
environment. The model involves determining the optimal location of biotechnological …

Understanding of how business processes are executed in real-life is vitally important for a
company. Any process leaves a digital footprint that can be transformed into so-called event …

In this paper, a new approach for increasing the approximation accuracy with the use of
computational intelligence tools is described. It is based on the compatible use of the neural …

The combined models of selective and hybrid types with indexation of time series for
forecasting the level of air pollution in infocommunication systems for monitoring the state of …

Management decision-making tasks are usually characterized by a high level of uncertainty.
When solving this class of problems, it is necessary to take into account the environmental …

A fractal analysis of the Bitcoin time series for the period from 2012 to 2019 is carried out:
Hurst exponents were calculated, the behavior of this indicator in dynamics was …