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Log-periodic oscillations in the specific heat behaviour for self-similar Ising type spin systems

Khamzin A., Nigmatullin R., Popov I., Zhelifonov M.

). It is shown that in temperature dependence of the specific heat the log-periodic oscillations are appeared

Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)

Lisovskaya E.A., Platov B.V.

data. Correlation coefficient between core samples porosity and well logging porosity (using the neural

Using the structure extraction method for analyzing data from spectrometric gamma-ray logging

Kataev, S. G., Kataeva, S. S., Miller, A. A.

gamma-ray logging data in the problem of lithological dissection of the section is investigated.

One problem of the theory of dimensional electrochemical machining of metals

Minazetdinov N.

of the cathode-tool in plane problems of the theory of dimensional electrochemical machining of metals. Under

Modeling of electrochemical machining with the use of a curvilinear electrode and a stepwise dependence of the current efficiency on the current density

Kotlyar L., Minazetdinov N.

© 2016, Pleiades Publishing, Ltd.An analytical solution of the problem of electrochemical machining

Calibrating optical spectra using machine learning algorithms

© 2020, Kazan Federal University. All rights reserved. We suggest an approach using machine

Machine learning-based strength prediction for refractory high-entropy alloys of the Al-Cr-Nb-Ti-V-Zr system

Klimenko, D., Stepanov, N., Jia Li, Qihong Fang, Zherebtsov, S. V.

composition and mechanical properties (yield strength) have been predicted using a combination of machine

МАШИННОЕ ОБУЧЕНИЕ

Самсонов Д.О., Синьдюкова Е.В., Чернова О.Е.

This paper interprets machine learning as the subfield of artificial intelligence and aims

Comparative analysis of performance measures for a wireless machine-to-machine network model operating with in two radio resource management policies

Markova E.V., Golskaia A.A., Dzantiev I.L., Gudkova I.A., Shorgin S.Ya.

parameter in determining the performance of wireless networks of machine-to-machine (M2M) interaction - data

Влияние технологий Big Data и Machine learning на изменение в интернет-маркетинге

Шкор, О. Н., Роговенко, А. М., Shkor, O. N., Rogovenko, A. M.

В данной статье будет рассмотрено влияние таких современных технологий как Big data и Machine

Страница 22 из 804