INIS
pipelines
100%
data
100%
corrosion
60%
accuracy
60%
prediction
40%
finite element method
40%
neural networks
40%
defects
40%
vectors
40%
pipes
40%
learning
40%
control
20%
applications
20%
data analysis
20%
range
20%
layers
20%
machine learning
20%
trains
20%
tuning
20%
performance
20%
algorithms
20%
experimental data
20%
validation
20%
high pressure
20%
decision making
20%
Engineering
Models
100%
Pipeline
100%
Finite Element Method
33%
Corrosion Defect
33%
Empirical Formula
33%
Corroded Pipeline
33%
Machine Learning Algorithm
16%
Burst Pressure
16%
Long Time
16%
Transfer Learning
16%
Determines
16%
Limited Application
16%
Artificial Neural Network Model
16%
Corrosion
16%
Surrogate Model
16%
Material Science
Mechanical Strength
100%
Pipeline
100%
Corrosion
75%
Finite Element Method
50%
Chemical Engineering
Neural Network
100%
Support Vector Machine
100%
Learning System
50%