Nature

Method for classification of UAV flight control RF signals based on multi-scale divergence entropy and optimized neural networks

To address the critical challenge of insufficient classification accuracy for UAV flight control radio frequency (RF) signals in complex electromagnetic environments, this study proposes a novel ...
Nature

Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks

The previous work of ECG-PCG-based heart disease detection has some drawbacks, and it is described below, Solely relying on ECG might miss subtle high-frequency murmurs caused by narrowed coronary ...
Interesting Engineering on MSN

New radio frequency platform achieves 85% real-time signal accuracy under one watt

Australia-based technology company BrainChip has launched a new hardware platform designed to classify radio ...
Semiconductor Engineering

Signal Integrity Plays Increasingly Critical Role In Chiplet Design

Maintaining the quality and reliability of electrical signals as they travel through interconnects is proving to be much more challenging with chiplets and advanced packaging than in monolithic SoCs ...
Forbes

Why Security Professionals Should Care About The Link Between Drones And Signals

Bill Edwards is a retired U.S. Army Colonel, a veteran of the Iraq War, and Owner of Phoenix 6 Consulting LLC. The rapid advancement of unmanned systems and robotics across all domains—air, land and ...