Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning-Reference-Cited by-同舟云学术

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Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning

Published:2022-01 Issue: Volume:118 Page:103329
ISSN:0924-2031
Container-title:Vibrational Spectroscopy
language:en
Short-container-title:Vibrational Spectroscopy

Author:

Henriksen Martin L.^ORCID,Karlsen Celine B.,Klarskov Pernille,Hinge Mogens^ORCID

Funder

European Regional Development Fund

Region Midtjylland

Uddannelses- og Forskningsministeriet

Innovationsfonden

Publisher

Elsevier BV

Subject

Spectroscopy

Reference28 articles.

1. Danmark uden affald;Auken;Miljø- Og Fødevareministeriet.,2013

2. Advisory Board for cirkulær økonomi - Anbefalinger til regeringen;Besenbacher;Miljø- Og Fødevareministeriet.,2017

3. The New Plastics Economy: Rethinking the Future of Plastics & Catalysing Action;Leone,2017

4. Miljøets fodspor nr. 5 - Affald, Miljøstyrelsen;Veltzé,2019

5. Macroplastics at sea around Antarctica;Barnes;Mar. Environ. Res.,2010

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1. Machine learning to enhance sustainable plastics: A review;Journal of Cleaner Production;2024-10

2. ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

3. Revolutionizing Waste Management With Advancements in Sorting and Processing Technologies;Practice, Progress, and Proficiency in Sustainability;2024-08-02

4. Rapid and non-destructive identification of plastic particles through THz technology and machine learning;Infrared Physics & Technology;2024-08

5. Recent Developments in Technology for Sorting Plastic for Recycling: The Emergence of Artificial Intelligence and the Rise of the Robots;Recycling;2024-07-15

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