Explainable Artificial Intelligence for the Rapid Identification and Characterization of Ocean Microplastics

Accurate identification of microplastic polymers in marine environments is essential for tracing pollution sources, understanding ecological impacts, and guiding mitigation strategies. This study presents a comprehensive, explainable-AI framework that uses Raman spectroscopy to classify pristine and...

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Detalles Bibliográficos

Principais autores:	Dimitris Kalatzis, Angeliki I. Katsafadou, Eleni I. Katsarou, Dimitrios C. Chatzopoulos, Yiannis Kiouvrekis
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-08-01
Series:	Microplastics
Assuntos:	explainable artificial intelligence machine learning microplastics identification oceanographic monitoring polymer classification SHAP (SHapley Additive exPlanations)
Acceso en liña:	https://www.mdpi.com/2673-8929/4/3/51
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