[HTML][HTML] Recent and emerging applications of Graphene-based metamaterials in electromagnetics

M Esfandiari, A Lalbakhsh, PN Shehni, S Jarchi… - Materials & Design, 2022 - Elsevier
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 …

Darkening low-earth orbit satellite constellations: A review

A Lalbakhsh, A Pitcairn, K Mandal… - IEEE …, 2022 - ieeexplore.ieee.org
The proliferation of low-earth orbit (LEO) satellites and the LEO satellite internet will be a
game-changer for the low-latency high-speed global internet. While this new generation of …

[HTML][HTML] Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products

M Roshani, G Phan, RH Faraj, NH Phan… - Nuclear Engineering …, 2021 - Elsevier
It is important for operators of poly-pipelines in petroleum industry to continuously monitor
characteristics of transferred fluid such as its type and amount. To achieve this aim, in this …

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 …

Application of wavelet feature extraction and artificial neural networks for improving the performance of gas–liquid two-phase flow meters used in oil and …

S Hosseini, O Taylan, M Abusurrah, T Akilan, E Nazemi… - Polymers, 2021 - mdpi.com
Measuring fluid characteristics is of high importance in various industries such as the
polymer, petroleum, and petrochemical industries, etc. Flow regime classification and void …

Density and velocity determination for single-phase flow based on radiotracer technique and neural networks

GH Roshani, R Hanus, A Khazaei, M Zych… - Flow Measurement and …, 2018 - Elsevier
Measuring the density and velocity of fluids is one of the important tasks in oil and petroleum
industries. The article demonstrates the measurements of these parameters precisely for …

Frequency domain feature extraction investigation to increase the accuracy of an intelligent nondestructive system for volume fraction and regime determination of gas …

O Taylan, MA Sattari, I Elhachfi Essoussi, E Nazemi - Mathematics, 2021 - mdpi.com
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 …

Applications of discrete wavelet transform for feature extraction to increase the accuracy of monitoring systems of liquid petroleum products

M Balubaid, MA Sattari, O Taylan, AA Bakhsh… - Mathematics, 2021 - mdpi.com
This paper presents a methodology to monitor the liquid petroleum products which pass
through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a …

Application of feature extraction and artificial intelligence techniques for increasing the accuracy of X-ray radiation based two phase flow meter

A Basahel, MA Sattari, O Taylan, E Nazemi - Mathematics, 2021 - mdpi.com
The increasing consumption of fossil fuel resources in the world has placed emphasis on
flow measurements in the oil industry. This has generated a growing niche in the flowmeter …

Investigation of different sources in order to optimize the nuclear metering system of gas–oil–water annular flows

A Karami, GH Roshani, A Khazaei, E Nazemi… - Neural Computing and …, 2020 - Springer
The used metering technique in this paper is based on the multienergy (at least dual)
gamma-ray attenuation. The aim of the current study is investigation of different …