[HTML][HTML] Recent and emerging applications of Graphene-based metamaterials in electromagnetics
Abstract Surface Plasmon Polaritons (SPPs) operating in mid-infrared up to terahertz (THz)
frequencies have been traditionally manufactured on expensive metals such as gold, silver …
frequencies have been traditionally manufactured on expensive metals such as gold, silver …
A survey on industry 4.0 for the oil and gas industry: upstream sector
The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …
impact of COVID-19, and the push for alternative greener energy are driving the need for …
Design of a compact planar transmission line for miniaturized rat-race coupler with harmonics suppression
This paper presents an elegant yet straightforward design procedure for a compact rat-race
coupler (RRC) with an extended harmonic suppression. The coupler's conventional/4 …
coupler (RRC) with an extended harmonic suppression. The coupler's conventional/4 …
[HTML][HTML] Tunable terahertz filter/antenna-sensor using graphene-based metamaterials
In this paper, a novel tunable graphene-based bandstop filter/antenna-sensor is presented.
This structure is an integrated module that can be used to combine filtering and high-gain …
This structure is an integrated module that can be used to combine filtering and high-gain …
An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …
environmental safety concerns. Renewable energy is power generated from sources that …
Mutual coupling reduction in antenna arrays using artificial intelligence approach and inverse neural network surrogates
This paper presents a novel approach to reducing undesirable coupling in antenna arrays
using custom-designed resonators and inverse surrogate modeling. To illustrate the …
using custom-designed resonators and inverse surrogate modeling. To illustrate the …
Application of neural network and time-domain feature extraction techniques for determining volumetric percentages and the type of two phase flow regimes …
AK Alanazi, SM Alizadeh, KS Nurgalieva, S Nesic… - Applied Sciences, 2022 - mdpi.com
One of the factors that significantly affects the efficiency of oil and gas industry equipment is
the scales formed in the pipelines. In this innovative, non-invasive system, the inclusion of a …
the scales formed in the pipelines. In this innovative, non-invasive system, the inclusion of a …
Application of wavelet feature extraction and artificial neural networks for improving the performance of gas–liquid two-phase flow meters used in oil and …
Measuring fluid characteristics is of high importance in various industries such as the
polymer, petroleum, and petrochemical industries, etc. Flow regime classification and void …
polymer, petroleum, and petrochemical industries, etc. Flow regime classification and void …
3D metamaterial ultra-wideband absorber for curved surface
This paper proposes a three-dimensional metamaterial absorber based on a resistive film
patch array to develop a low-cost, lightweight absorber for curved surfaces. An excellent …
patch array to develop a low-cost, lightweight absorber for curved surfaces. An excellent …
Frequency domain feature extraction investigation to increase the accuracy of an intelligent nondestructive system for volume fraction and regime determination of gas …
In this research, a methodology consisting of an X-ray tube, one Pyrex-glass pipe, and two
NaI detectors was investigated to determine the type of flow regimes and volume fractions of …
NaI detectors was investigated to determine the type of flow regimes and volume fractions of …