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Modeling and analysis of dynamic characteristics of carrier system of machining center in MSC.Adams
Grinek, A. V., Rybina, A. V., Boychuk, I. P., Dantsevich, I. M., Hurtasenko, A. V.
Modeling and analysis of dynamic characteristics of carrier system of machining center in MSC
Connection between machines durability during operation and the complex of physic-mechanical properties, formed during the production of critical parts
Shibakov V., Pankratov D., Shibakov R.
of thermomechanical forming components at various stages of processing. The dependencies that can predict
Surface Microrelief of Shafts after Machining by Mills with Replaceable Inserts
Grechishnikov V., Pivkin P., Prikhod’ko A., Yurasov S.
for complex components in turning by a disk mill with a replaceable polyhedral insert. The influence
Improving the Performance of Multipurpose Machine Tools
Khostikoev M.Z., Danilov I.K., Nabatnikov Y.F., Timiryazev V.A.
machine tools by expanding the range of available tools and the methods of surface machining
MACHINE LEARNING POTENTIAL
Pozdnyakov S., Mazhnik E., Kruglov I., Oganov A., Yanilkin A.
MACHINE LEARNING POTENTIAL
COMPARATIVE ANALYSIS OF PERFORMANCE MEASURES FOR A WIRELESS MACHINE-TO-MACHINE NETWORK MODEL OPERATING WITHIN TWO RADIO RESOURCE MANAGEMENT POLICIES
Markova E.V., Goiskaia A.A., Dzantiev I.L., Gudkova I.A., Shorgin S.Y.
parameter in determining the performance of wireless networks of machine-to-machine (M2M) interaction - data
Signal Pre-Selection for Monitoring and Prediction of Vehicle Powertrain Component Aging
Udo Sass, A., Esatbeyoglu, E., Iwwerks, T.
components of a vehicle age due to their usage. This component aging is only visible in a certain number
Algorithm of calculation of energy consumption on the basis of differential model of the production task performed on machines with computer numeric control (CNC)
Safarov D., Kondrashov A., Glinina G., Safarova L.
equipped with CNC machines is developed. The algorithm takes into account the actual status, operating
Google translate the deep-learning upgrade of Google translation methods
Миняйло, М. И., Скороходова, Л. В., Minyailo, M. I., Skorokhodova, L. V.
представила новую систему для машинного перевода, Google Neural Machine Translation (GNMT), т. е. машинный
СОВЕРШЕНСТВОВАНИЕ МЕТОДОВ ОПРЕДЕЛЕНИЯ ЦЕНЫ НА ПРОДУКЦИЮ, ВЫПУСКАЕМУЮ ПО ПРОГРАММЕ ИМПОРТОЗАМЕЩЕНИЯ
Чурсин А.А., Груздев К.С.
technologies in the form of creating a database, as well as introducing machine learning models. The main

Страница 9 из 2647

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