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Augmenting biologging with supervised machine learning to study in situ behavior of the medusa Chrysaora fuscescens
Zooplankton play critical roles in marine ecosystems, yet their fine-scale behavior remains poorly understood because of the difficulty in studying individuals in situ. Here, we combine biologging with supervised machine learning (ML) to propose a pipeline for studying in situ behavior of larger zoo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Company of Biologists Ltd
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739807/ https://www.ncbi.nlm.nih.gov/pubmed/31371399 http://dx.doi.org/10.1242/jeb.207654 |