Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition

Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition

The emerging technology of Structural Health Monitoring (SHM) paved the way for spotting and continuous tracking of structural damage. One of the major defects in historical structures is cracking, which represents an indicator of potential structural deterioration according to its severity. This pa...

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Bibliographic Details
Main Authors: Esraa Elhariri, Nashwa El-Bendary, Shereen A. Taie
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Crack detection
feature selection
Fisher score
hybrid filter-wrapper
Kappa index
multi-objective optimization
Online Access:https://ieeexplore.ieee.org/document/9083977/

Internet

https://ieeexplore.ieee.org/document/9083977/

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