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Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour
Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Position of a sensor, sampling frequency and window size of segmented signal data has a major impact on classification accuracy in activity recognition and energy n...
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| Veröffentlicht in: | R Soc Open Sci |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
The Royal Society Publishing
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5830751/ https://ncbi.nlm.nih.gov/pubmed/29515862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.171442 |
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