Cargando…
Reducing Sweeping Frequencies in Microwave NDT Employing Machine Learning Feature Selection
Nondestructive Testing (NDT) assessment of materials’ health condition is useful for classifying healthy from unhealthy structures or detecting flaws in metallic or dielectric structures. Performing structural health testing for coated/uncoated metallic or dielectric materials with the same testing...
Autores principales: | Moomen, Abdelniser, Ali, Abdulbaset, Ramahi, Omar M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851073/ https://www.ncbi.nlm.nih.gov/pubmed/27104533 http://dx.doi.org/10.3390/s16040559 |
Ejemplares similares
-
Microwave NDT
por: Ida, N
Publicado: (1992) -
Microwave NDT of Smart Composite Structures with Embedded Antennas
por: Rahman, Mohammed Saif ur, et al.
Publicado: (2023) -
Near Field Breast Tumor Detection Using Ultra-Narrow Band Probe with Machine Learning Techniques
por: Aldhaeebi, Maged A., et al.
Publicado: (2018) -
Frequency Sweep Keying CDMA for Reducing Ultrasonic Crosstalk
por: Park, Ga-Rin, et al.
Publicado: (2022) -
NDT goes Open Access
por: Pinder, Roger M, et al.
Publicado: (2007)