Support Vector Machine (SVM) is one of the most widely used algorithms for solving classification and regression problems. SVM parameters such as the kernel and the penalty (C) parameters greatly ...

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

This paper presents a new differential protection scheme based on support vector machine (SVM), which provides effective discrimination between internal faults in a power transformer with the other ...