Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now
used in a wide range of applications, from critical safety-of-life scenarios like nuclear power …

The increasing prevalence of unmanned aerial vehicles (UAVs), commonly known as
drones, has generated a demand for reliable detection systems. The inappropriate use of …

The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

Regulation of drones is already an important research topic. The drone identification method
based on the radio frequency (RF) signal analysis technology is an efficient approach to …

The high energy, transient, and nanosecond pulse of laser shock peening (LSP) renders
real-time monitoring of material surface integrity challenging. Along these lines, this article …

Highlights What are the main findings? Laboratory SAG mill acoustics are sensitive to
different feed size fractions. Supervised classification models and acoustic emissions were …

Radio frequency (RF)-based drone identification is a safety-critical task, where erroneous
model outputs may result in potential costs. However, most existing studies are based on the …

Abstract Integrating Industry 4.0 and Quality 4.0 optimises manufacturing through IoT and
ML, improving processes and product quality. The primary challenge involves identifying …

In recent years, drones have brought about numerous conveniences in our work and daily
lives due to their advantages of low cost and ease of use. However, they have also …

The abuse of drones has raised critical concerns about public security and personal privacy,
bringing an urgent requirement for drone recognition. Existing radio frequency (RF)-based …