Extraction of time-domain characteristics and selection of effective features using correlation analysis to increase the accuracy of petroleum fluid monitoring systems

AM Mayet, SM Alizadeh, KS Nurgalieva, R Hanus… - Energies, 2022 - mdpi.com
In the current paper, a novel technique is represented to control the liquid petrochemical and
petroleum products passing through a transmitting pipe. A simulation setup, including an X …

Introducing a precise system for determining volume percentages independent of scale thickness and type of flow regime

AM Mayet, SM Alizadeh, ZA Kakarash, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
When fluids flow into the pipes, the materials in them cause deposits to form inside the pipes
over time, which is a threat to the efficiency of the equipment and their depreciation. In the …

Proposing an intelligent technique based on radial basis function neural network to forecast the energy spectrum of diagnostic X-ray imaging systems

C Zhanjian, J Zheng, L Shan, W Wei, W Zhu… - Applied Radiation and …, 2023 - Elsevier
In digital subtraction angiography (digital subtraction total cerebral angiography), cardiac
and macrovascular cardiography, anorectal radiology, fluoroscopy, and computed …

Mutual coupling reduction in microstrip patch antenna arrays using simple microstrip resonator

S Roshani, H Shahveisi - Wireless Personal Communications, 2022 - Springer
In this paper a novel ladder resonator is introduced to reduce mutual coupling effect in the
patch antenna array structure. Applied patch antennas are operating at 2.45 GHz frequency …

Proposing a high-precision petroleum pipeline monitoring system for identifying the type and amount of oil products using extraction of frequency characteristics and a …

AM Mayet, KS Nurgalieva, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
Setting up pipelines in the oil industry is very costly and time consuming. For this reason, a
pipe is usually used to transport various petroleum products, so it is very important to use an …

[HTML][HTML] Improvement in measurement of radiation based two-phase flowmeters independent of flow regime and scale thickness using ant colony optimization and …

AM Mayet, EI Gorelkina, J AlShaqsi… - Nuclear Engineering …, 2024 - Elsevier
The formation of scales in pipes is one element that has a major impact on the efficiency of
machinery used in the oil and gas sector. With the help of artificial intelligence, this new, non …

A methodology for analysis and prediction of volume fraction of two-phase flow using particle swarm optimization and group method of data handling neural network

AM Iliyasu, DK Bagaudinovna, AS Salama… - Mathematics, 2023 - mdpi.com
Determining the volume percentages of flows passing through the oil transmission lines is
one of the most essential problems in the oil, gas, and petrochemical industries. This article …

Optimizing the gamma ray-based detection system to measure the scale thickness in three-phase flow through oil and petrochemical pipelines in view of stratified …

AM Mayet, TC Chen, SM Alizadeh, AA Al-Qahtani… - Processes, 2022 - mdpi.com
As the oil and petrochemical products pass through the oil pipeline, the sediment scale
settles, which can cause many problems in the oil fields. Timely detection of the scale inside …

Application of MLP neural network to predict X-ray spectrum from tube voltage, filter material, and filter thickness used in medical imaging systems

J He, C Zhanjian, J Zheng, M Shentong, MS Daoud… - Plos one, 2023 - journals.plos.org
The X-ray energy spectrum is crucial for image quality and dosage assessment in
mammography, radiography, fluoroscopy, and CT which are frequently used for the …

Proposing a Method Based on Artificial Neural Network for Predicting Alignment between the Saudi Nursing Workforce and the Gig Framework

R AL-Dossary, AM Mayet, JK Bhutto, NK Shukla… - Sustainability, 2023 - mdpi.com
The goal of the present investigation is to assess the applicability of the Gig Economy
Framework (GEF) to the nursing workforce in Saudi Arabia. In order to learn more about the …