Comparative analysis of machine learning algorithms for FBG-based damage detection in glass fiber composites

Authors: Ali Y. Uğurveren, Enes A. Nohutcuoglu, Tarik Tekoglu et al.
Publication: Optical Sensing and Detection IX
Published: May 29, 2026
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Analysis of charge carrier recombination in organic polymer nanoparticles for photocatalytic hydrogen generation using time-resolved photoluminescence spectroscopy

Ferdinando Muraca, Thomas Leendertse et al. - May 2026

Read More
Assessment of particle adhesion on coatings via particle deposition and microscopic analysis

Daniel Schachtler, Christoph Sturzenegger et al. - May 2026

Read More
Colocalized multimodal M-CARS hyperspectral analysis for the investigation of healthy human muscle tissues

Ugo Arles Bottega, Aurore Danigo et al. - May 2026

Read More
Predicting power conversion efficiency of luminescent solar concentrators using artificial neural networks

Sandra F. H. Correia, Ana R. Bastos et al. - May 2026

Read More
Operational limits of DeepQuadrature: AI-driven fringe analysis for optical and biological metrology

Wiktor Forjasz, Julianna Winnik et al. - May 2026

Read More