2Department of Agricultural Economics, Sindh Agriculture University, Tandojam, Pakistan;
hmagsi@ sau. edu. pk 3Department of Rural Sociology, Sindh Agriculture University …

Spectrum sensing is an essential component in cognitive radios (CR). Machine learning
(ML) algorithms are powerful techniques for designing a promising spectrum sensing model …

Cognitive Radio is a technology for Next Generation Wireless Networks to support Dynamic
Spectrum Access which addresses the spectrum scarcity and under utilization problems …

Abstract The Cognitive Radio (CR) is one of the significant technology to enhance the
spectrum utilization efficiency. The Radio Frequency (RF) spectrum is the most valuable …

Objective: Spectrum sensing ensures reliable detection of primary users and white spaces in
the channel such that the cognitive users can utilise the unused spectrum. Method: This …

Abstract Background/Objectives: The pre-assigned spectrum allocation policy that has been
adopted by various wireless technologies according to the standards of Federal …

Objective: The purpose of this work is to develop an efficient algorithm for uncovering the
myocardial ischemia at early stages from ECG signal using Principal Component Analysis …

In cognitive radio, spectrum sensing is indeed critical for identifying “spectrum holes,” which
are underused frequency bands in the licensed spectrum. By detecting these unused bands …

The underutilization of existing radio spectrum and scarcity of available channel become a
challenge for modern era communication system. Services such as high speed data …

Radar Systems are among the most widely used communication systems. They are used in
both military and civilian applications such as: Remote sensing, Microwave Sounder (MWR) …