While high-resolution proton density-weighted magnetic resonance imaging (MRI) of
intracranial vessel walls is significant for a precise diagnosis of intracranial artery disease …

Background The extended acquisition times required for MRI limit its availability in resource-
constrained settings. Consequently, accelerating MRI by undersampling k-space data …

In this study, a priority-aware lightweight secure sensing model for body area networks with
clinical healthcare applications in internet of things is proposed. In this model, patients' data …

We propose and experimentally demonstrate a scheme for accelerated fast BOTDA. The
effect of signal-to-noise ratio (SNR) on recovery performance of compressed sensing is …

Recently, sub-Nyquist sampling (SNS) based wideband spectrum sensing has emerged as
a promising approach for cognitive radios. However, most of existing SNS-based …

This letter proposes a robust formulation for sparse signal reconstruction from compressed
measurements corrupted by impulsive noise, which exploits the-Gaussian generalized …

In the era of communicational technologies, body area networks (BAN) provide useful and
applicable devices for monitoring soldiers' health, of paramount importance for the …

Purpose To assess image quality and diagnostic confidence of 3D T1-weighted spoiled
gradient echo (SPGR) MRI using artificial intelligence (AI) reconstruction. Materials and …

Within the compressive sensing (CS) framework, one effective way to increase the likelihood
of successful signal reconstruction is to employ random processes in the construction of the …

To better meet communication needs, 6G proposes Integrated Satellite-Terrestrial Networks.
Integrated Sensing and Communication (ISAC) is one of the key technologies of Integrated …