This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …

Better neural networks, more powerful computer hardware and signal Big Data make deep
learning increasingly important in Specific Emitter Identification (SEI). However, its …

IoT-based WSNs have proved their significance in delivering critical information pertaining
to hostile applications such as Wildfire Detection (WD) with the least possible delay …

Using temporal and spatial correlations to predict wind speed is still one of the most
challenging and least-researched fields in wind speed prediction. How to make full use of …

Node failure in the Wireless Sensor Networks (WSN) topology may lead to economic loss,
endanger people, and cause environmental damage. Node reliability can be achieved by …

Cyber security has always been an important issue in the Internet of Everything topic. In the
physical layer of the Internet, specific emitter identification (SEI) technology is widely …

This paper investigates the radio-frequency-energy-harvesting-powered (RF-EH-powered)
wireless Industrial Internet of Things (IIoT) networks, where multiple sensor nodes (SNs) are …

Abstract 5G networks are envisioned to support heterogeneous Industrial IoT (IIoT) and
Industrial Wireless Sensor Network (IWSN) applications with a multitude Quality of Service …

Specific emitter identification (SEI) is crucial in the Internet of Everything (IoE). Over the past
decade, deep learning (DL) and broad learning (BL)-enabled SEI technologies have …

Big data technology has been developed rapidly in recent years. The performance
improvement mechanism of targeted poverty alleviation is studied through the big data …