The k-nearest neighbors algorithm (kNN) is renowned for solving classification tasks. The notion of kNN is to seek similar data instances in the dataset as prediction reference, for which the ...

Recent approaches to model corner singularities in electromagnetic analysis require a treatment substantially different from that of edge singularities. In this article, new algorithms are proposed ...