Pages that link to "Item:Q2190095"
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The following pages link to Detection of multiple complicated flaw clusters by dynamic variable-node XFEM with a three-step detection algorithm (Q2190095):
Displaying 11 items.
- Detection of multiple flaws in piezoelectric structures using XFEM and level sets (Q459334) (← links)
- An adaptive multiscale approach for identifying multiple flaws based on XFEM and a discrete artificial fish swarm algorithm (Q1986255) (← links)
- Dynamic XFEM-based detection of multiple flaws using an improved artificial bee colony algorithm (Q2184308) (← links)
- Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm (Q2952337) (← links)
- A multiscale flaw detection algorithm based on XFEM (Q2952584) (← links)
- A data-driven multi-flaw detection strategy based on deep learning and boundary element method (Q6044220) (← links)
- Flaw classification and detection in thin‐plate structures based on scaled boundary finite element method and deep learning (Q6071426) (← links)
- Detection of scatterers using an XFEM-BEM level set solver based on the topological derivative (Q6141554) (← links)
- SBFEM and Bayesian inference for efficient multiple flaw detection in structures (Q6539842) (← links)
- Combining dynamic XFEM with machine learning for detection of multiple flaws (Q6554003) (← links)
- Scaled boundary finite element based two-level learning approach for structural flaw identification (Q6583920) (← links)
