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Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour.
Walton, Emily; Casey, Christy; Mitsch, Jurgen; Vázquez-Diosdado, Jorge A; Yan, Juan; Dottorini, Tania; Ellis, Keith A; Winterlich, Anthony; Kaler, Jasmeet.
Affiliation
  • Walton E; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
  • Casey C; DXC Technology, Ballybrit Business Park, Galway City H91 WP08, Ireland.
  • Mitsch J; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
  • Vázquez-Diosdado JA; Advanced Data Analysis Centre (ADAC), School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
  • Yan J; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
  • Dottorini T; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
  • Ellis KA; School of Computer Science, University of Manchester, Manchester M13 9PL, UK.
  • Winterlich A; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
  • Kaler J; Advanced Data Analysis Centre (ADAC), School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
R Soc Open Sci ; 5(2): 171442, 2018 Feb.
Article de En | MEDLINE | ID: mdl-29515862
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: R Soc Open Sci Année: 2018 Type de document: Article Pays d'affiliation: Royaume-Uni Pays de publication: Royaume-Uni
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: R Soc Open Sci Année: 2018 Type de document: Article Pays d'affiliation: Royaume-Uni Pays de publication: Royaume-Uni