Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-18050-7_36
Reference20 articles.
1. Serranti, S., Fiore, L., Bonifazi, G., Takeshima, A., Takeuchi, H., Kashiwada, S.: Microplastics characterization by hyperspectral imaging in the SWIR range, vol. 11197 (2019)
2. Bonifazi, G., Fiore, L., Gasbarrone, R., Hennebert, P., Serranti, S.: Detection of brominated plastics from e-waste by short-wave infrared spectroscopy. Recycling 6(3), 54 (2021)
3. Bonifazi, G., Capobianco, G., Cucuzza, P., Serranti, S., Uzzo, A.: Recycling-oriented characterization of pet waste stream by SWIR hyperspectral imaging and variable selection methods. Detritus 18, 42–49 (2022)
4. Araujo-Andrade, C., et al.: Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling. Waste Manage. Res. 39(5), 631–651 (2021)
5. Caballero, D., Bevilacqua, M., Amigo, J.M.: Application of hyperspectral imaging and chemometrics for classifying plastics with brominated flame retardants. J. Spectral Imaging 8 (2019)
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