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Article
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AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
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Original research — experimental, observational, or case-control study. Direct primary evidence.
Policy & Risk
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Combining numerical modeling and machine learning for microplastic monitoring
Scilight
2023
1 citation
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Ben Ikenson
Summary
This perspective piece argues that combining numerical ocean transport models with machine learning could improve microplastic monitoring by filling gaps in observational data. Interdisciplinary approaches that integrate modeling and AI are increasingly seen as necessary tools for tracking plastic pollution across vast ocean areas.
Interdisciplinary field may help address major environmental problem