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William Luna Salgado
Observed names:
SALGADO, William L.,
W.L. Salgado,
William L. Salgado
Institutions:
Nuclear Engineering Institute,
National Nuclear Energy Commission
Observed institutions:
Universidade Federal do Rio de Janeiro,
Instituto Federal do Rio de Janeiro,
Centro Universitário da Cidade,
Institute of Economic Sciences,
Nuclear Engineering Institute,
National Nuclear Energy Commission
show all 6
ORCID:
0000-0001-8094-5490
Observed ORCID:
0000-0001-8094-5490
OpenAlex ID:
A5007294779
Density prediction for petroleum and derivatives by gamma-ray attenuation and artificial neural networks
2016
·
C.M. Salgado
, L.E.B. Brandão
, et al.
·
Applied Radiation and Isotopes
·
64
Flow regime and volume fraction identification using nuclear techniques, artificial neural networks and computational fluid dynamics
2020
·
Renato R.W. Affonso
, Roos S.F. Dam
, et al.
·
Applied Radiation and Isotopes
·
61
Salinity independent volume fraction prediction in annular and stratified (water–gas–oil) multiphase flows using artificial neural networks
2014
·
César M. Salgado
, Luis E.B. Brandão
, et al.
·
Progress in Nuclear Energy
·
50
Application of artificial intelligence in scale thickness prediction on offshore petroleum using a gamma-ray densitometer
2019
·
William L. Salgado
, Roos Sophia de F. Dam
, et al.
·
Radiation Physics and Chemistry
·
48
Optimization of a flow regime identification system and prediction of volume fractions in three-phase systems using gamma-rays and artificial neural network
2021
·
W.L. Salgado
, R.S.F. Dam
, et al.
·
Applied Radiation and Isotopes
·
34
Monitoring system of oil by-products interface in pipelines using the gamma radiation attenuation
2020
·
William L. Salgado
, Roos S.F. Dam
, et al.
·
Applied Radiation and Isotopes
·
29
Calculation of volume fractions regardless scale deposition in the oil industry pipelines using feed-forward multilayer perceptron artificial neural network and MCNP6 code
2022
·
César M. Salgado
, Roos S.F. Dam
, et al.
·
Applied Radiation and Isotopes
·
21
A novel radioactive particle tracking algorithm based on deep rectifier neural network
2021
·
Roos Sophia de Freitas Dam
, Marcelo Carvalho dos Santos
, et al.
·
Nuclear Engineering and Technology
·
20
PDF
Inorganic scale thickness prediction in oil pipelines by gamma-ray attenuation and artificial neural network
2018
·
Tâmara P. Teixeira
, César M. Salgado
, et al.
·
Applied Radiation and Isotopes
·
19
Calculation of scales in oil pipeline using gamma-ray scattering and artificial intelligence
2021
·
César Marques Salgado
, William Luna Salgado
, et al.
·
Measurement
·
18
Experimental and simulated methods to characterize the response of a scintillator detector
2021
·
William Luna Salgado
, Roos Sophia de Freitas Dam
, et al.
·
Radiation Physics and Chemistry
·
17
Application of radioactive particle tracking and an artificial neural network to calculating the flow rate in a two-phase (oil–water) stratified flow regime
2021
·
Roos Sophia de Freitas Dam
, William Luna Salgado
, et al.
·
Applied Radiation and Isotopes
·
16
Determination of mass attenuation coefficient of polylactic acid using gamma densitometry in 50-1000 keV energy range
2020
·
A.G.M. Santos
, R.S.F. Dam
, et al.
·
Radiation Physics and Chemistry
·
16
A new application of radioactive particle tracking using MCNPX code and artificial neural network
2019
·
Roos Sophia de F. Dam
, Tâmara P. Teixeira
, et al.
·
Applied Radiation and Isotopes
·
16
The comparison of different multilayer perceptron and General Regression Neural Networks for volume fraction prediction using MCNPX code
2020
·
C.M. Salgado
, R.S.F. Dam
, et al.
·
Applied Radiation and Isotopes
·
15
Development of a deep rectifier neural network for fluid volume fraction prediction in multiphase flows by gamma-ray densitometry
2021
·
César M. Salgado
, Roos S.F. Dam
, et al.
·
Radiation Physics and Chemistry
·
13
Three-phase flow meters based on X-rays and artificial neural network to measure the flow compositions
2021
·
César Marques Salgado
, Roos Sophia de Freitas Dam
, et al.
·
Flow Measurement and Instrumentation
·
12
Application of deep neural network and gamma radiation to monitor the transport of petroleum by-products through polyducts
2023
·
William Luna Salgado
, Roos Sophia de Freitas Dam
, et al.
·
Applied Radiation and Isotopes
·
10
Determination of eccentric deposition thickness on offshore horizontal pipes by gamma-ray densitometry and artificial intelligence technique
2020
·
Tâmara P. Teixeira
, Marcelo C. Santos
, et al.
·
Applied Radiation and Isotopes
·
10
Optimization of radioactive particle tracking methodology in a single-phase flow using MCNP6 code and artificial intelligence methods
2020
·
Roos Sophia de Freitas Dam
, William Luna Salgado
, et al.
·
Flow Measurement and Instrumentation
·
9
Use of gamma radiation and artificial neural network techniques to monitor characteristics of polyduct transport of petroleum by-products
2022
·
W.L. Salgado
, R.S.F. Dam
, et al.
·
Applied Radiation and Isotopes
·
8
Prediction of fluids volume fraction and barium sulfate scale in a multiphase system using gamma radiation and deep neural network
2023
·
Roos Sophia de Freitas Dam
, Marcelo Carvalho dos Santos
, et al.
·
Applied Radiation and Isotopes
·
7
Void fraction prediction using prompt gamma neutron activation analysis and artificial intelligence
2023
·
William Luna Salgado
, Roos Sophia de Freitas Dam
, et al.
·
Radiation Physics and Chemistry
·
7
Application of deep neural network and gamma-ray scattering in eccentric scale calculation regardless of the fluids volume fraction inside a pipeline
2022
·
Roos Sophia de Freitas Dam
, William Luna Salgado
, et al.
·
Applied Radiation and Isotopes
·
7
Prediction of chemical elements in cement using neutron activation analysis and artificial intelligence
2025
·
César Marques Salgado
, Roos Sophia de Freitas Dam
, et al.
·
Radiation Physics and Chemistry
·
6
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Works count:
75
Citation count:
584
H-index:
15
I10-index:
19
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