Advances in machine learning for the detection and characterization of microplastics in the environment
Microplastics are increasingly recognized as a pervasive pollutant in both aquatic and terrestrial environments, raising pressing concerns about their ecological impacts and implications for human health. Traditional detection and quantification methods—including manual microscopy and standalone spe...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2025-05-01
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| Schriftenreihe: | Frontiers in Environmental Science |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1573579/full |
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