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Parallel machine scheduling models with the total machine cost with the linear non-increasing cost density functions. For identical and uniform parallel machine problems
Cost-aware scheduling on uniform parallel machines (weighted) completion time and the total cost for usage of machines. A cost density function is given
Modeling of electrochemical machining with the use of a curvilinear electrode and a stepwise dependence of the current efficiency on the current density© 2016, Pleiades Publishing, Ltd.An analytical solution of the problem of electrochemical machining
Modeling of electrochemical machining with the use of a curvilinear electrode and a stepwise dependence of the current efficiency on the current density© 2016, Pleiades Publishing, Ltd.An analytical solution of the problem of electrochemical machining
An Accuracy Improvement of the Neuromorphic Functional Models by Using the Parallel ANN Architecture stimulates development of new mathematical models and methods for numerical simulation. Machine learning
Analysis of Acoustic Oscillations Dependence on the Process Parameters in Laser Treatment density correspond to the theoretical research in this direction and allow using the data obtained
Forecasting the insurance cost of a vehicle using machine learning methods on the quality of the models. For forecasting, regression models of machine learning are used. As a result
Analysis of Acoustic Oscillations Dependence on the Process Parameters in Laser Treatment density correspond to the theoretical research in this direction and allow using the data obtained
Design of grinding plates for a universal grinding machine grinding machine are developed. These designs greatly expand the functional capabilities of the machine
Application of Machine Learning for Prediction of Cone Penetration Test Data as functions of the cone resistance qc have very good convergence. This shows a good prospect of using machine
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