Algorithm for individual learning content formation in automated machine learning system

The study describes the algorithms used in the formation of individual learning content which can be used in machine learning. The algorithm for generating educational content based on the input test procedure, thereby reducing the number of elementary units of knowledge in the educational conten

Decision support system for the expert assessment of social risks

The study is devoted to the development of decision support systems in the expert assessment of social risk

System analysis of properties of coatings and indicators of the process of plasma and electrolytic oxidations quality

The article is devoted to solution of the problem of systematization of the parameters for the model that associate the properties of the obtained coatings with the qualitative properties of coatings on the basis of the method of plasma-electrolytic oxidation (PEO) of valve metals. Nowadays for the synthesis of the required parameters of technological processing regimes (electrical regimes, concentrations of the components of the electrolyte) in the process of coatings’ forming various measured parameters of the coating are use

The modular structure of the adaptive machine learning system

Machine learning system based on the modular structure can tune to particular subject area flexibly and form the optimal individual educational trajector

Software quality assessment using fuzzy parametric characteristics

The article is devoted to the problem of software quality assessment during the trial operation stage. The developed approach is based on the hierarchy of quality assessment parameters according to GOST 28195-8

Spectral Components of SS 433

We present results from new optical and UV spectroscopy of the unusual binary system SS 433, and we discuss the relationship of the particular spectral components we observe to the properties of the binary. (1) The continuum spectrum which we associate with flux from the super-Eddington accretion disk and the dense part of its wind. (2) H-alpha moving components which are formed far from the binary orbital plane in the relativistic jets. (3) H-alpha and He I "stationary" emission lines which we suggest are formed in the disk wind in a volume larger than the dimensions of the binary. (4) A weak "stationary" emission feature we identify as a C II 7231,7236 blend that attains maximum radial velocity at the orbital quadrature of disk recession. (5) Absorption and emission features from outflowing clumps in the disk wind (seen most clearly in an episode of blue-shifted Na I emission). (6) We found no clear evidence of the absorption line spectrum of the optical star, although we point out the presence of He I absorption features (blended with the stationary emission) with the expected radial velocity trend at the orbital and precessional phases when the star might best be seen. (7) A rich interstellar absorption spectrum of diffuse interstellar bands. The results suggest that the binary is embedded in an expanding thick disk (detected in recent radio observations) which is fed by the wind from the super-Eddington accretion disk.Comment: Submitted to Ap

Retracted: Algorithm of global extremum search area definition for several variables function

This article was withdrawn and retracted by the Journal of Fundamental and Applied Sciences and has been removed from AJOL at the request of the journal Editor in Chief and the organisers of the conference at which the articles were presented (www.iccmit.net). Please address any queries to [email protected]

Algorithm for individual learning content formation in automated machine learning system

The study describes the algorithms used in the formation of individual learning content which can be used in machine learning. The algorithm for generating educational content based on the input test procedure, thereby reducing the number of elementary units of knowledge in the educational conten

Decision support system for the expert assessment of social risks

The study is devoted to the development of decision support systems in the expert assessment of social risk

The modular structure of the adaptive machine learning system

Machine learning system based on the modular structure can tune to particular subject area flexibly and form the optimal individual educational trajector