Trophos
Higher trophic levels in the Southern North Sea
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From microplastics to pixels: Testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification
Meyers, N.; De Witte, B.; Schmidt, N.; Herzke, D.; Fuda, J.-L.; Vanavermaete, D.; Janssen, C.; Everaert, G. (2024). From microplastics to pixels: Testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification, in: MICRO 2024: Plastic pollution from macro to nano. International conference, 23 -27 September 2024, Lanzarote, Spain.
In: (2024). MICRO 2024: Plastic pollution from macro to nano. International conference, 23 -27 September 2024, Lanzarote, Spain. Biosphere Reserve/World Network of Island and Coastal Biosphere Reserves (WNICBR): Lanzarote.
Is gerelateerd aan:
Meyers, N.; De Witte, B.; Schmidt, N.; Herzke, D.; Fuda, J.-L.; Vanavermaete, D.; Janssen, C.R.; Everaert, G. (2024). From microplastics to pixels: Testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification. Environm. Sc. & Poll. Res. 31: 61860–61875. https://dx.doi.org/10.1007/s11356-024-35289-0, meer
Beschikbaar in  Auteurs 
Documenttype: Samenvatting
Trefwoorden
    Automation
    Fluorescence
    Monitoring
    Pollution > Water pollution > Marine pollution
    Marien/Kust
Author keywords
    Microplastics, Machine learning, Nile red, Weathered plastics
Auteurs  Top 
  • Meyers, N.
  • De Witte, B.
  • Schmidt, N.
  • Herzke, D.
  • Fuda, J.-L.
  • Vanavermaete, D.
  • Janssen, C.
  • Everaert, G.
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs