Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images

Author:

Galdón-Navarro Borja1,Prats-Montalbán José Manuel1ORCID,Cubero Sergio2,Blasco Jose2,Ferrer Alberto1

Affiliation:

1. Multivariate Statistical Engineering (GIEM), Departamento de Estadística e IO Aplicadas y Calidad; Universitat Politècnica de València, Cno. de Vera s/n; Edificio 7A 46022 Valencia Spain

2. Centro de Agroingeniería; Instituto Valenciano de Investigaciones Agrarias (IVIA); Cra. Moncada-Naquera Km 5 Moncada Spain

Funder

Universitat Politècnica de València

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference42 articles.

1. Plastics Europe 2016 Plastics-the facts 2016. An analysis of European plastics production, demand and waste data

2. Efficient chemometric strategies for PET-PLA discrimination in recycling plants using hyperspectral imaging;Ulrici;Chemometr Intell Lab.,2013

3. PET and PVC separation with hyperspectral imagery;Moroni;Sens Switz.,2015

4. Hyperspectral image analysis. A tutorial;Amigo;Anal Chim Acta,2015

5. Edge-preserving image smoothing constraint in MCR-ALS of hyperspectral data;Hugelier;Appl. Spectrosc.

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