Today, over time, the various technologies that are in the human service are growing. We are witnessing these types of technologies have their place in our lives. One of these new technologies is that despite being able to show your own good is AI technology. This technology is also used in sports. GLT technology in football is one of the examples Which will enable the jury to the judge managed to play well. This technology from other technologies:GoalRef and Hawk-Eye, etc. have benefited. Despite much criticism, FIFA has approved the technology and it has used. In this article we have discussed this technology.
We propose a method of testing of a statistical hypothesis regarding independence of random error components in the stochastic frontier model. The analytical formula for the log-likelihood is given for the model with the dependent components under consideration of the normal copula. Approbation of the provided technique is made on the basis of simulated data for the 3-factor stochastic model of production potential of a company that takes into account intellectual capital as one of the basic production factors.
This article is dedicated to the study of the possibility of improving the preparation level of future engineers through the use of the latest virtual simulator complexes in the educational process. The author proposes an approach towards developing a virtual laboratory that makes it possible to precisely duplicate the experimenter’s actions on the computer in performing real laboratory work.
The paper continues the investigations in [1]. We consider the problem of recognition of convex bodies in n-dimensional Euclidean space by k-flats sections, in particular for n=3 by linear or planar sections. This problem is equivalent to recognition of convex bodies by orientation-dependent chord length distributions (for linear sections) and orientation-dependent area distributions (for planar sections). The main goal of the article is to enlarge the class of bodies for which the form of the orientation dependent chord length distribution function and the cross-section area distribution function are known.
This article examines the application of nonlinear dynamics methods to the study of the electroencephalograms (EEG) of patients with trigeminal neuralgia (TN). The author has calculated delay time and embedding dimensions values and constructed recurrent EEG diagrams for healthy trial subjects and patients with TN. The study has revealed significant differences between the nonlinear dynamics of the EEGs of patients with TN and a normal EEG.
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