Engineering & Materials Science
Pipe
100%
Corrosion
99%
Defects
90%
Internal corrosion
56%
Iron
47%
Convolution
45%
Pipelines
40%
Imaging techniques
30%
Corrosion rate
28%
Uncertainty
24%
Neural networks
24%
Carbonates
22%
Gas pipelines
22%
Damage detection
22%
Water
21%
Steel
19%
Hydrogen sulfide
16%
Sulfides
15%
Precipitates
13%
Flow velocity
13%
Chemical analysis
12%
Carbon dioxide
12%
Computer hardware
11%
Gaussian noise (electronic)
10%
Demonstrations
10%
Temperature
10%
Image processing
10%
Ring lasers
10%
Pipeline corrosion
9%
Plastics
9%
Polymers
9%
Localized corrosion
8%
Magnetic sensors
8%
Oils
8%
Endoscopy
8%
Protective coatings
8%
Data reduction
7%
Gases
7%
Surface waves
7%
Video cameras
7%
Water content
7%
Condition monitoring
6%
Wetting
6%
Risk assessment
6%
Environmental impact
6%
Image segmentation
6%
Pollution
6%
Neurons
6%
Artificial intelligence
5%
Interpolation
5%
Computer vision
5%
Learning algorithms
5%
Oxygen
5%
Feature extraction
5%
Inspection
5%
Lasers
5%
Carbon
5%