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An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers
BACKGROUND: Our understanding of movement patterns and behaviours of wildlife has advanced greatly through the use of improved tracking technologies, including application of accelerometry (ACC) across a wide range of taxa. However, most ACC studies either use intermittent sampling that hinders cont...
Gorde:
| Argitaratua izan da: | Mov Ecol |
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| Egile Nagusiak: | , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2021
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8011142/ https://ncbi.nlm.nih.gov/pubmed/33785056 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40462-021-00245-x |
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