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Neural Interactive Machine Learning
Building a brain-computer interface for rapid image labeling
Ensembles of novelty detection classifiers for structural health monitoring using guided waves
Guided wave structural health monitoring uses sparse sensor networks embedded in sophisticated structures for defect detection and characterization. The biggest challenge of those sensor networks is developing robust techniques for reliable damage …
Machine Learning and Statistical Signal Processing for Guided Wave Structural Health Monitoring
Building statistical methods to assess damage detection reliability and machine learning models for damage detection
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