Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …

Featured Application Signal Processing. Abstract Open-set signal recognition provides a
new approach for verifying the robustness of models by introducing novel unknown signal …

The main aim of this article is to hybridize orthogonal experimental design (OED) in different
population-based metaheuristics to make them more suitable for structural optimization …

Rapid advances in wireless communication services has made limited spectrum resources
increasingly scarce. One promising solution for enhancing spectrum utilization is …

Within the phenomenology of particle physics, the theoretical model of 4-zero textures is
validated using a chi-square criterion that compares experimental data with the …

Cancer is one of the most devastating health conditions in the world. In the diagnosis and
treatment of the various forms of cancer illness, studies have shown that early detection of …

The primary user emulation (PUE) attack is one of the strongest attacks in mobile cognitive
radio networks (MCRN) because the primary users (PU) and secondary users (SU) are …

Cognitive radio networks (CRNs) are a technological revolution that allows unlicensed users
(SUs) to opportunistically use the freely licensed spectrum bands of a primary user (PU). To …

The growing demand for wireless applications has led to an increasing need for efficient
spectrum utilization. Cognitive radio networks (CRNs) emerge as a promising solution to …

In cognitive wireless networks, secondary users gain access to the spectrum by identifying
and occupying primary users' frequency resources. However, Primary User Emulation Attack …