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 …
Extraction of time-domain characteristics and selection of effective features using correlation analysis to increase the accuracy of petroleum fluid monitoring systems
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 …
petroleum products passing through a transmitting pipe. A simulation setup, including an X …
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 …
Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic
Notwithstanding the impact that the Coronavirus pandemic has had on the physical and
psychological wellness of people, it has also caused a change in the psychological …
psychological wellness of people, it has also caused a change in the psychological …
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 …
[HTML][HTML] Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks
Ensuring reliable and stable communication links between User Equipment (UE) and
serving cellular networks during UE movement is one of the significant difficulties facing the …
serving cellular networks during UE movement is one of the significant difficulties facing the …
Applications of discrete wavelet transform for feature extraction to increase the accuracy of monitoring systems of liquid petroleum products
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 …
through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a …
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 …
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 …
and macrovascular cardiography, anorectal radiology, fluoroscopy, and computed …
Employing GMDH-type neural network and signal frequency feature extraction approaches for detection of scale thickness inside oil pipelines
In this paper, gamma attenuation has been utilised as a veritable tool for non-invasive
estimation of the thickness of scale deposits. By simulating flow regimes at six volume …
estimation of the thickness of scale deposits. By simulating flow regimes at six volume …