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Theory of machine learning based on nonrelativistic quantum mechanics
(World ScientificPE, 2021)
The goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...
The Machine Learning Principles Based at the Quantum Mechanics Postulates
(Springer Link, 2022)
Quantum mechanics is governed by well-defined postulates by the which one can go through either theory or experimental studies in order to perform measurements of microscopic dynamics of elementary particles, atoms and ...
State of mechanical condition applied to industrial machines based on SVD method
(Universidad de Tarapaca, 2018-01-01)
A problem related to the operation of industrial machines has been the identification of the mechanical condition in exploitation, via dynamic performance variables which affect the nominal behavior of machine tasks. This ...
Tool Wear Mechanisms In The Machining Of Steels And Stainless Steels
(Springer London LTDLondon, 2016)
3-D CNC trajectory interpolation using Bresenham's algorithm
(IEEE, 1994)
This article describes a 3D extension of Bresenham's algorithm and its implementation in the linear trajectory interpolation of CNC paths. The resulting algorithm has been successfully applied to a CNC milling machine that ...
Route optimization in mechanized sugarcane harvesting
(2017-09-01)
Sugarcane cultivation is important for the economy of many countries, particularly for Brazil. This plant has been used to produce sugar, ethanol, second generation ethanol, fertilizers, as well as bioelectricity. Due to ...
Investigation of the performance of ceramic tools of alumina doped with magnesium oxide in the dry machining of compacted graphite iron
(2019-01-01)
In the search for materials to serve the automotive industry, mainly in the application in engine blocks, the most interesting material is the vermicular cast irons, which must have superior physical and mechanical properties. ...
Quantum Mechanics of Theorem of Bayes Modeled by Machine Learning Principles
(IEEE, 2022)
A theory consisting in quantum mechanics and theorem of Bayes, is presented. In essence, the Bayes probability has been built from two subspaces. While in one some quantum measurements are done, in the another it is seen ...
Influence of the green-machining parameters on the mechanical properties of alumina rods
(2017-02-01)
Green and white machining has being extensively employed in compact blanks to obtain a pre-form prior to the sintering of advanced ceramics. Both machining processes involve low-energy consumption and high material removal ...
kappa-Entropy Based Restricted Boltzmann Machines
(Ieee, 2019-01-01)
Restricted Boltzmann Machines achieved notorious popularity in the scientific community in the last decade due to outstanding results in a wide range of applications and also for providing the required mechanisms to build ...