2023
DOI: 10.1016/j.resconrec.2023.107095
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Environmental sustainability: A machine learning approach for cost analysis in plastic recycling classification

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Cited by 15 publications
(3 citation statements)
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“…Generally, due to different solubility and density, PE and PS mixtures could be sorted straightforward by solvent methods, flotation separation, and IR automated sorting. 4,5 However, the accounts of polymer films and foams are increasing nowadays, 6 whose solubilities and densities are quite different with their raw polymers. For instance, many polymer materials used for food packaging composed of PE (protective films) and PS (containers) are discarded as hybrids.…”
Section: ■ Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Generally, due to different solubility and density, PE and PS mixtures could be sorted straightforward by solvent methods, flotation separation, and IR automated sorting. 4,5 However, the accounts of polymer films and foams are increasing nowadays, 6 whose solubilities and densities are quite different with their raw polymers. For instance, many polymer materials used for food packaging composed of PE (protective films) and PS (containers) are discarded as hybrids.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Nowadays, the amount of PE and PS wastes among human society are increasing as the development of economy, and most are mixtures of PE and PS. Generally, due to different solubility and density, PE and PS mixtures could be sorted straightforward by solvent methods, flotation separation, and IR automated sorting. , However, the accounts of polymer films and foams are increasing nowadays, whose solubilities and densities are quite different with their raw polymers. For instance, many polymer materials used for food packaging composed of PE (protective films) and PS (containers) are discarded as hybrids. , Large amounts of construction wastes are composite materials composed of PE and PS, which are also difficult to separate or need higher sorting costs. Therefore, an efficient method to upcycle waste mixtures of PE and PS remains a challenge.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed model exhibited superior performance compared to CNN-MLP, LightGBM, LSTM, and ensemble models. Carrera et al [ 19 ] 2023 LR, SVM, and other machine-learning algorithms Classification of recycled plastic materials Evaluating the effectiveness of various classifiers, including LR, SVM, and other machine learning algorithms, to identify the most suitable classifier. Pre-processing methods, such as replacing missing data, noise reduction, and rectification, were applied to enhance classifier performance.…”
Section: Introductionmentioning
confidence: 99%