This paper presents a rapidly developed non-invasive microstrip sensor for measuring blood glucose levels (BGLs). The sensor features a microstrip closed-loop square resonator integrated with an interdigital capacitor (IDC), creating a sensitive area…
We present EdgeShield, a lightweight pipeline that streamlines internet of medical
things (IoMT) traffic analysis by pairing aggressive dimensionality-reduction
with federated model aggregation. It employs systematic preprocessing,…
This study introduces a modified electro-optical modulator (EOM) to enhance bipolar optical code division multiple access (OCDMA) in free-space optical (FSO) communication. The proposed system improves signal quality, spectral efficiency, and…
The current need to conserve natural resources and find new ways to advance without damaging the environment has led to the search for different energy sources. In this sense, the availability of radio frequency (RF) energy is found as a favorable…
This article presents a three-band low noise amplifier (LNA) in microstrip technology based on composite right left handed transmmision line (CRLH-TL) resonators for multi-band behavior, which has been designed to meet all the criteria that determine…
This study investigates deep learning based single image super-resolution (SISR) and highlights its revolutionary potential. It emphasizes the significance of SISR, and the transition from interpolation to deep learning-driven reconstruction…
Energy scavenging-aided nonorthogonal multiple access (NOMA) networks significantly
ameliorate energy-and-spectral efficiencies thanks to superimposing a
multitude of user signals for concurrent transmission and harvesting radio frequency
energy.…
This research focuses on enhancing the realism of hand drawn human sketches through the use of conditional generative adversarial networks (cGAN). Addressing the challenge of translating rudimentary sketches into high-fidelity images, by leveraging…
This research aimed to investigate the relationship between perceived ease of use (PEU), perceived usefulness (PU), and task interdependence (TASKINT) on employees’ work performance. Technology acceptance model (TAM) was used as a theoretical…
The energy analysis of the newly introduced n-wheel graph, employs diverse
matrix representations such as the adjacency matrix, Laplacian matrix, and maximum
degree matrix. This novel graph model resembles a hierarchical wireless
sensor network…