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Laser-Induced Breakdown Spectroscopy Combined with Nonlinear Manifold Learning for Improvement Aluminum Alloy Classification Accuracy

Laser-induced breakdown spectroscopy (LIBS) spectra often include many intensity lines, and obtaining meaningful information from the input dataset and condensing the dimensions of the original data has become a significant challenge in LIBS applications. This study was conducted to classify five di...

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Autori principali: Edward Harefa, Weidong Zhou
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-04-01
Serie:Sensors
Soggetti:
LIBS
dimensionality reduction
manifold learning
classification
Isomap
Laplacian eigenmaps
Accesso online:https://www.mdpi.com/1424-8220/22/9/3129
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