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...

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Detalles Bibliográficos
Autores principales: Yu, Hui, Deng, Jian, Nathan, Ran, Kröschel, Max, Pekarsky, Sasha, Li, Guozheng, Klaassen, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011142/
https://www.ncbi.nlm.nih.gov/pubmed/33785056
http://dx.doi.org/10.1186/s40462-021-00245-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011142/
https://www.ncbi.nlm.nih.gov/pubmed/33785056
http://dx.doi.org/10.1186/s40462-021-00245-x

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