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Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

This article proposes a 28-GHz full-duplex (FD) phased arrays, which consists of 64-element transmitting and receiving arrays, and a 28-GHz radio frequency (RF) canceller. The phased arrays are ...

These operations can include: Matrix creation, Matrix input: Taking matrix values as input from the user. Matrix display: Printing matrices in a formatted structure. Matrix operations: Addition of two ...