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Cavitation flow of an ideal incompressible fluid in the electrochemical machining of metals
Minazetdinov N.
on the shape of the machined component.
Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures
Prischepa, V. V., Skiba, V. E., Borisov, Alexey V., Vrazhnov, Denis A.
in the determination of a component with a low concentration in a gas mixture. The approaches based on the modification
Surfase roughness of internal combustion engine components in high speed hard machining
Fijodorov V.L., Petcherskaya E.M.
This Article is concerning Surface Roughness and Defects of Internal Combustion Engine Components
Study of Deformations Field in the Working Zone of Vertical Milling Machine
Khusainov R., Sabirov A., Mubarakshin I.
elastic deformation development during the machining with milling machines. It discusses the issues
Machine learning methods for modeling the kinetics of combustion in problems of space safety
Malsagov M.Y., Mikhalchenko E.V., Karandashev I.M., Stamov L.I.
the principal component analysis from the results of numerical modeling of detonation in a narrow channel
IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning
Vishniakou, U. A., YiWei Xia
The results of studying the parameters of the spectra of speech signals by machine learning
Regulation of Geometrical Parameters Deviations of Automotive Components Parts through Diagnostic Measurements Organization
Kasjanov S., Kondrashov A., Safarov D.
laborious to apply them to compact business suppliers of automotive components. Analysis of the existing
Study of vertical milling machine layout in terms of rigidity
Khusainov R.M., Sabirov A.R., Ziangirova E.R.
milling machine depends not only on its inherent stiffness and contact rigidity of its components
Application of k-out-of-n:G System and Machine Learning Techniques on Reliability Analysis of Tethered Unmanned Aerial Vehicle
Ivanova N., Vishnevsky V.
of the lifetime distribution function of the components has been carried out. The impact of the coefficient
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models
Khosravi K., Farooque A.A., Naghibi A., Heddam S., Sharafati A., Hatamiafkoueieh J., Abolfathi S.
machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available

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