A supervised model to identify wolf behavior from tri-axial acceleration

A supervised model to identify wolf behavior from tri-axial acceleration

Abstract Background In wildlife studies, animal behavior serves as a key indicator of the impact of environmental changes and anthropogenic disturbances. However, wild animals are elusive and traditional GPS studies only provide limited insight into their daily activities. To address this issue, beh...

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Bibliographic Details
Main Authors: Charlotte Lorand, Léa Bouet, Olivier Devineau, Marianna Chimienti, Alina L. Evans, Peggy Callahan, Mark Beckel, Timothy G. Laske, Ane Eriksen
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Animal Biotelemetry
Subjects:
Canis lupus
Wolf
Random Forest
Classification
Multi-class
Acceleration
Online Access:https://doi.org/10.1186/s40317-025-00400-w
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https://doi.org/10.1186/s40317-025-00400-w

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