Pages that link to "Item:Q5426633"
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The following pages link to Structural damage detection by integrating independent component analysis and support vector machine (Q5426633):
Displaying 11 items.
- A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures (Q2212992) (← links)
- Structural damage detection using ARMAX time series models and cepstral distances (Q2359917) (← links)
- Robust \(L_\infty\) reliable control for impulsive switched nonlinear systems with state delay (Q2511350) (← links)
- Input-to-state stability analysis for a class of nonlinear switched descriptor systems (Q2792235) (← links)
- Extracting Structural Damage Features: Comparison Between PCA and ICA (Q3063181) (← links)
- Advanced data pre-processing for damage identification based on pattern recognition (Q3366461) (← links)
- Modified Chain-code Computer Vision Techniques For Interrogation Of Vibration Signatures For Structural Fault Detection (Q4268563) (← links)
- A time-sequence-based fuzzy support vector machine adaptive filter for tremor cancelling for microsurgery (Q5252902) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707622) (← links)
- Enhanced features in principal component analysis with spatial and temporal windows for damage identification (Q5861313) (← links)
- Learning methods for structural damage detection via entropy‐based sensors selection (Q6061092) (← links)
