Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

Abstract User Generated Comments and ranking based on it, has been studied extensively
due to its impact on consumers and businesses. Literature highlights that platforms' rankings …

Cyber-security threats and issues have been exponentially increasing over the last two
decades, including in cognitive radio networks. These attacks and vulnerabilities negatively …

In this paper, we present the concept of the Radio Environment Map (REM) designed to
ensure electromagnetic situational awareness of cognitive radio networks. The map …

Cognitive radio (CR), as a concept based on the ability to detect and share the unutilised
spectrum, has been envisioned as a promising candidate to improve the efficiency of …

The cognitive radio-enabled Internet of Things (CR-IoT) is envisioned to shape the future of
densely connected IoT devices in the sixth-generation networks to support the …

In this manuscript, distinct approaches were used in order to obtain the best electrical power
estimation from photovoltaic systems located at different selected places in Mexico. Multiple …

Cognitive radio networks (CRN) based on spectrum sensing represent intelligent wireless
communication technology dedicated to a more efficient exploitation of the available …

ABSTRACT Vehicular Ad-Hoc Networks (VANETs), a subset of Mobile Ad-Hoc Networks
(MANETs), are wire-less networks formed around moving vehicles, enabling communication …