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The use of machine learning methods to predict the processes and results of high-voltage electric discharge processing of titanium powder in kerosene with the implementation of vol...
by
Prystash, M S
,
Prystash, S F
,
Torpakov, A S
,
Lypian, Ye V
,
Syzonenko, O M
Published in
IOP conference series. Materials Science and Engineering
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Iop Conference Series. Materials Science And Engineering
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Electric Discharges
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Electric Sparks
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High Voltage Electric Discharge
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High Voltages
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Kerosene
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Logistic Regression
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Machine Learning
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Particle Size
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Pulse Repetition Frequency
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Random Forest
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Spherical Powders
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Titanium
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Titanium Carbide
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