Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister.
Bozhou ZhuangAnna ArcaroBora GencturkRoger G. GhanemPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- machine learning
- machine learning algorithms
- transfer learning
- feature selection
- decision trees
- pattern recognition
- data storage
- learning tasks
- knowledge acquisition
- explanation based learning
- storage requirements
- inductive learning
- model selection
- information extraction
- learning algorithm
- computer vision
- natural language
- learning problems
- damage assessment
- automatic identification
- machine learning and data mining
- storage and retrieval
- expert systems
- text mining
- knowledge representation
- knowledge discovery
- mathematical model
- semi supervised learning
- natural language processing
- database
- computational intelligence