A new mathematical model of the intelligent access monitoring and control system based on
the cybernetic approach is proposed for solving the problems of vehicle access to the …

It is suggested to use the ensemble of deep neural networks to design an intellectual
situation classifier that solves the problem of normal and abnormal situations detection and …

The deep neural network method of recognizing critical situations for transport systems
according to video frames from the intelligent vehicles cameras is offered, that is effective in …

The issue of detecting and recognizing manufacturing defects in riveted joints using video
content is presented. For the detection and classification of defects in riveted joints of aircraft …

The structural diagram of the intelligent control system based on fuzzy inference
technologies using computer vision systems is proposed. The statement of the abnormal …

The neural network method for detecting and recognizing moving objects in the tasks of
trajectory tracking according to the data from surveillance cameras is offered. The new …

A causal analysis of the occurrence of defects in holes and sockets, mortgages and closing
heads of rivets when producing rivet joints of aircraft equipment was conducted. The …

One of the most important problem related to understanding the investor's behavior is to
study the ways he selects, analyzes and interprets the available information and then uses it …

The problem of events detecting and classifying in the continuous video stream of
information and telecommunication security systems is solved. As a basic algorithm, it is …