Augmented Hybrid Learning for Visual Defect Inspection in Real-World Hydrogen Storage Manufacturing Scenarios

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Keyphrases

100
Visual Defects Keyphrases
100
Hydrogen Storage Keyphrases
100
Defect Inspection Keyphrases
100
Hybrid Learning Keyphrases
66
Overkill Keyphrases
33
Model-driven Develo... Keyphrases
33
Product Quality Keyphrases
33
Experiment Results Keyphrases
33
Cost Reduction Keyphrases
33
Promising Solutions Keyphrases
33
Unsupervised Learni... Keyphrases
33
Benchmarking Method Keyphrases
33
High Recall Keyphrases
33
Recall Rate Keyphrases
33
Deep Learning Keyphrases
33
Biased Data Keyphrases
33
Quality Control Sta... Keyphrases
33
Manufacturing Line Keyphrases

INIS

100
learning INIS
100
manufacturing INIS
100
inspection INIS
100
defects INIS
100
hybrids INIS
100
hydrogen storage INIS
25
industry INIS
25
cost INIS
25
balances INIS
25
data INIS
25
solutions INIS
25
quality control INIS
25
benchmarks INIS
25
experiment results INIS

Engineering

100
Inspection Engineering
100
Real World Engineering
100
Hydrogen Storage Engineering
100
Hybrid Engineering
50
Gas Fuel Manufactur... Engineering
50
Experiment Engineering
25
Development Engineering
25
Product Quality Engineering
25
Quality Control Engineering
25
Benchmark Engineering
25
Model Engineering
25
Industrial Plant Engineering
25
Deep Learning Metho... Engineering

Chemical Engineering

100
Hydrogen Chemical Engineering
50
Unsupervised Learni... Chemical Engineering
50
Deep Learning Metho... Chemical Engineering
Research OutputsResearch Output authored by Augmented Hybrid Learning for Visual Defect Inspection in Real-World Hydrogen Storage Manufacturing Scenarios is tagged with the concept