Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.
The support vector machine (SVM) is employed to investigate the structure-activity relationship (SAR)/quantitative structure-activity relationship (QSAR) of phenethyl-amines based on molecular ...
Demand for low-cost, robust motor drives has spurred increased use of sensorless vector control of induction and BLDC motors — in everything from consumer products to industrial applications, in ...
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