Due to increasing demands for ensuring the safety and reliability of a system, fault detection
(FD) has received considerable attention in modern industries to monitor their machines …

The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …

The possibility of the application of an unmanned aerial vehicle (UAV) in search and rescue
activities in a deep underground mine has been investigated. In the presented case study, a …

Fault diagnosis of power transmission systems (PTSs) is crucial for ensuring the reliability of
power grids because most grids are exposed to harsh environments. For integrity diagnosis …

The detection and classification of engine-based moving objects in restricted scenes from
acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems …

Speech enhancement for drone audition is made challenging by the strong ego-noise from
the rotating motors and propellers, which leads to extremely low signal-to-noise ratios (eg …

Imagine being in a crowded room with a cacophony of speakers and having the ability to
focus on or remove speech from a specific 2D region. This would require understanding and …

The “low, slow, and small” target (LSST) poses a significant threat to the military ground unit.
It is hard to defend against due to its invisibility to numerous detecting devices. With the …

This article fills the gap between the growing interest in signal processing based on Deep
Neural Networks (DNN) and the new application of enhancing speech captured by …

This paper proposes a detection and classification method for unmanned aerial vehicles,
commonly called drones, using sensor fusion schemes. Datasets for drone detection and …