Water researchRiversEnvironmental MonitoringSupervised Machine LearningDeep Learning
A semi-supervised learning-based framework for quantifying litter fluxes in river systems.
Tianlong Jia, Riccardo Taormina, Rinze de Vries, Zoran Kapelan, Tim H M van Emmerik, Paul Vriend, Imke Okkerman
Published: 202610.1016/j.watres.2025.124833
Abstract
Supervised deep learning methods have been widely employed to detect floating macroplastic litter (>5 mm) in (fresh)water bodies. However, few studies used them to quantify floating litter fluxes in rivers with wide cross-sections, that is important…
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