In this article, a method based on variable-periodic sequence time-modulated metasurfaces is proposed to generate time–frequency signatures for radio frequency identification (RFID) tags, which ...

Multivariate time series classification is a machine learning problem that can be applied to automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel Transform (ROCKET) ...

In this article we highlight a novel variation on dynamic time warping (DTW) for aligning chromatogram signals. We are interested in sets of signals that can be aligned well locally, but not globally, ...