For a writing exercise, Purpura suggested taking a work-in-progress piece to an unfamiliar space and reading it aloud, taking ...

Abstract: Self-supervised contrastive learning methods offer a promising approach to the small-sample synthetic aperture radar (SAR) automatic target recognition (ATR) problem by autonomously ...

Thus, this letter proposes a framework for extraversion classification using sample entropy features extracted from resting-state EEG signals. The proposed framework compares two different EEG epoch ...

Researchers Alban Fichet and Christoph Peters of Intel Corporation detailed the format in a recent paper published in the Journal of Computer ... and even shows examples with as many as 81 ...