Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data

Plastic products' widespread applications and their non-biodegradable nature have resulted in the continuous accumulation of microplastic waste, emerging as a significant component of ecological environmental issues. In the field of microplastic detection, the intricate morphology poses challen...

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Bibliographic Details
Published in:	Journal of environmental management Vol. 359; p. 120954
Main Authors:	Han, Kaitai, Huang, Mengyuan, Wang, Zhenghui, Shi, Chaojing, Wang, Zijun, Guo, Jialu, Liu, Wu, Lei, Lixin, Guo, Qianjin
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01.05.2024
Subjects:	Automated data processing pipeline automation data collection Deep learning model environmental management Microplastic detection Microplastic pollution microplastics Photoacoustic imaging Shape classification wastes Shape classification Microplastic pollution Photoacoustic imaging Deep learning model Automated data processing pipeline Microplastic detection
ISSN:	0301-4797, 1095-8630, 1095-8630
Online Access:	Get full text
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