Spectrum sensing is a critical component of cognitive radio systems, enabling the detection
and utilization of underutilized frequency bands. Convolutional neural networks (CNNs) and …

Cognitive radio (CR), as an emerging technology to improve the utilization of radio
spectrum, the fundamental of CR technology is spectrum sensing, due to the detection …

One of the most significant phases of human life is health. Every society is paying more
consideration to and implementing knowledge in the areas of health and healthcare …

The exponential increase of health-related digital data has given machine learning
algorithms a newfound ability to generate more meaningful insights. Information such as …

This work presents the research on spectrum sensing in optical OFDM (orthogonal
frequency division multiplexing) systems. Spectrum sensing is crucial for cognitive radio …

Background Researchers are focusing their emphasis on quick and real-time healthcare
and monitoring systems because of the contemporary modern world's rapid technological …

Abstract In recent years, Mini/Micro UAVs have started to become a major concern and
threat to the public, which made the need of detection and classification of them inevitable …

Future wireless networks extensively employ the two-dimensional Optical-Orthogonal Time
Frequency Space (O-OTFS) modulation system due to its increased dependability, flexibility …

In order for cognitive radios to identify and take advantage of unused frequency bands,
spectrum sensing is essential. Conventional techniques for spectrum sensing rely on …

The increase in wireless radio applications required a large amount of spectrum to provide a
high quality of services and continuous access. The scarcity of the spectrum is one of the …