Creating a behavioural classification module for acceleration data: using a captive surrogate for difficult to observe species.
about
Step by step: reconstruction of terrestrial animal movement paths by dead-reckoningThe Use of Acceleration to Code for Animal Behaviours; A Case Study in Free-Ranging Eurasian Beavers Castor fiberLove thy neighbour: automatic animal behavioural classification of acceleration data using the K-nearest neighbour algorithm.Optimizing acceleration-based ethograms: the use of variable-time versus fixed-time segmentation.Seeing It All: Evaluating Supervised Machine Learning Methods for the Classification of Diverse Otariid Behaviours.Interpreting behaviors from accelerometry: a method combining simplicity and objectivity.Predicting Lameness in Sheep Activity Using Tri-Axial Acceleration Signals.Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data.
P2860
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P2860
Creating a behavioural classification module for acceleration data: using a captive surrogate for difficult to observe species.
description
2013 nî lūn-bûn
@nan
2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Creating a behavioural classif ...... difficult to observe species.
@ast
Creating a behavioural classif ...... difficult to observe species.
@en
type
label
Creating a behavioural classif ...... difficult to observe species.
@ast
Creating a behavioural classif ...... difficult to observe species.
@en
prefLabel
Creating a behavioural classif ...... difficult to observe species.
@ast
Creating a behavioural classif ...... difficult to observe species.
@en
P2093
P356
P1476
Creating a behavioural classif ...... difficult to observe species.
@en
P2093
Hamish A Campbell
Lianli Gao
Owen R Bidder
P304
P356
10.1242/JEB.089805
P577
2013-09-12T00:00:00Z