Rapid and non-destructive identification of plastic particles through THz technology and machine learning-Reference-Cited by-同舟云学术

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Rapid and non-destructive identification of plastic particles through THz technology and machine learning

Published:2024-08 Issue: Volume:140 Page:105350
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Zhang Min,Peng Zhongze^ORCID,Xu Xiaoguang,Xie Xinru,Liu Yong,Song Qi^ORCID

Publisher

Elsevier BV

Reference48 articles.

1. Integrating a chemicals perspective into the global plastic treaty;Wang;Environ. Sci. Technol. Lett.,2022

2. A vision detection scheme based on deep learning in a waste plastics sorting system;Wen;Appl. Sci.,2023

3. Impacts of plastic products used in daily life on the environment and human health: what is known?;Rodrigues;Environ. Toxicol. Pharmacol.,2019

4. Plastic industry plan to sue the Canadian federal government for listing plastic as toxic may increase plastic marine pollution;Walker;Mar. Pollut. Bull.,2021

5. Potential health impact of environmentally released micro- and nanoplastics in the human food production chain: experiences from nanotoxicology;Bouwmeester;Environ. Sci. Tech.,2015

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