Assessment of Machine Learning Models to Identify Port Jackson Shark Behaviours Using Tri-Axial Accelerometers

Assessment of Machine Learning Models to Identify Port Jackson Shark Behaviours Using Tri-Axial Accelerometers

Movement ecology has traditionally focused on the movements of animals over large time scales, but, with advancements in sensor technology, the focus can become increasingly fine scale. Accelerometers are commonly applied to quantify animal behaviours and can elucidate fine-scale (<2 s) behaviour...

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Bibliographic Details
Main Authors: Julianna P. Kadar, Monique A. Ladds, Joanna Day, Brianne Lyall, Culum Brown
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
machine learning
accelerometer
model selection
benthic
elasmobranch
epoch
Online Access:https://www.mdpi.com/1424-8220/20/24/7096

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https://www.mdpi.com/1424-8220/20/24/7096

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