Automatic modulation recognition (AMR) is a promising technology for intelligent communication Toy Storage receivers to detect signal modulation schemes.Recently, the emerging deep learning (DL) research has facilitated high-performance DL-AMR approaches.This research presents a novel and versatile Multi-Channel Gated Recurrent Deep Neural Network
Dynamical systems like the one described by the three-variable Lorenz-63 model may serve as metaphors for complex natural systems such as climate systems.When these systems are perturbed by external forcing factors, they tend to relax back to their equilibrium conditions after the forcing has shut off.Here we investigate the behavior of such transi
Previous work suggests that relative increases in socially evaluative threat modulate the psychobiological stress response.However, few studies have compared stressors which manipulate the level of socially evaluative threat to which the participant is exposed.Here we present two studies.In the first, we assessed the integrity of an ecologically va
The activating immune receptor natural killer group member D (NKG2D) and its cognate ligands represent a fundamental surveillance system of cellular distress, damage or transformation.Signaling through the NKG2D receptor-ligand axis is critical for early detection of Balance viral infection or oncogenic transformation and the presence of functional