Pages that link to "Item:Q5152254"
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The following pages link to Damage detection of a cable-stayed bridge based on combining effective intrinsic mode functions of empirical mode decomposition using the feature selection technique (Q5152254):
Displaying 10 items.
- Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring ({SHM}) (Q381738) (← links)
- On damage detection by continuous dynamic monitoring in wind-excited suspension bridges (Q399844) (← links)
- Study on correlations of modal frequencies and environmental factors for a suspension bridge based on improved neural networks (Q617307) (← links)
- Structural health monitoring and damage detection using an intelligent parameter varying (ipv) technique (Q873438) (← links)
- Research on bridge sensor validation based on correlation in cluster (Q1793187) (← links)
- A novel parallel auto-encoder framework for multi-scale data in civil structural health monitoring (Q2331629) (← links)
- Structural damage detection using ARMAX time series models and cepstral distances (Q2359917) (← links)
- Advanced data pre-processing for damage identification based on pattern recognition (Q3366461) (← links)
- Structural damage detection by integrating independent component analysis and support vector machine (Q5426633) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707622) (← links)
