Issues related to the development of a method for planning the stages of rescuing victims of
man-made disasters using computer distributed systems with programmable logic and a …

Accurate sky identification is one of the most important functions of an automated telescope
mount. The more accurately the robotic telescope is navigated to the investigated part of the …

Real time anomaly detection is important to performance and efficiency in many areas. This
paper offers a complex method for detecting abnormal telecommunication traffic. The …

This paper explores the capabilities of machine learning for the probabilistic forecasting of
fractional Brownian motion (fBm). The focus is on predicting the probability of the value of an …

Shoplifting is a major problem for shop owners and many other parties, including the police.
Video surveillance generates huge amounts of information that staff cannot process in real …

The paper proposes a method for estimating the Hurst exponent of time realizations using a
regression neural network. The basis was the wavelet estimation method using a discrete …

The study of the multifractal characteristics of physiological processes attracted wide interest
in recent decades, since evidence has been found that the presence of certain alterations in …

Existing models and methods of intrusion detection are mostly aimed at detecting intensive
attacks, do not take into account the security of computer system resources and the …

The appearance of" blurred" digital images is a consequence of the violation of the
immobility of the camera during the shooting of the objects under study. To this end, a …

In astronomical images obtained using telescopes and cameras, there are from 1 to 100
thousand or more stars depending on the resolution and exposure time. These objects are …