Keyphrases
U-Net
100%
X-ray Computed Tomography (X-CT)
82%
Convolutional Neural Network
79%
Numerical Simulation
52%
Carbon Fiber Reinforced Polymer
52%
Deep Learning Methods
49%
Defect Detection
30%
X-ray Study
26%
Detection Probability
26%
Efficient Segmentation
26%
Deep Neural Network
26%
Long Journey
26%
Traditional Learning
26%
Detectability Analysis
26%
Defect Detectability
26%
Aerospace Components
26%
Hyperparameters
22%
Multi-class Semantic Segmentation
22%
Pore Segmentation
22%
Prediction Accuracy
22%
Segmentation Model
17%
Parameter Analysis
17%
GPU Systems
17%
Consumer-grade
17%
Hyperparameter Tuning
17%
Execution Time
17%
Training Model
17%
Reasonable Time
17%
Segmentation Algorithm
16%
Detection Curve
16%
Otsu Thresholding
14%
Carbon Fiber Composite
14%
Preprocessing Techniques
13%
Deep Learning Network
13%
Training Data
13%
Network Applications
13%
Network Architecture
13%
Computed Tomography
13%
Computed Tomography Simulation
11%
Limit of Detection
11%
Segmentation Method
9%
Automated Defect Detection
8%
Artificial Defect
8%
CT Dataset
8%
Radiograph
8%
Aluminum Alloy Cylinder Head
8%
Detection Method
8%
X-ray
8%
X-ray Computed Tomography Images
7%
Glass Fiber Composite
5%
Engineering
Convolutional Neural Network
79%
Deep Learning Method
70%
Carbon Fibre Reinforced Polymer
52%
Computer Simulation
52%
Defect Detection
39%
Probability of Detection
26%
Ray Inspection
26%
Graphics Processing Unit
26%
Fiber-Reinforced Composite
26%
Parameter Set
26%
Illustrates
26%
Execution Time
26%
Reasonable Time
26%
Detectability
26%
Aerospace Component
26%
Data Preprocessing
13%
Segmentation Method
13%
Learning Technique
13%
Satisfactory Level
13%
Limited Number
13%
Detection Limit
13%
Aviation
13%
Composite Material
13%
Cylinder Heads
8%
Simulation Tool
8%
