Academic Journal

Description of classification algorithms and complete feature set used in the study from Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep

التفاصيل البيبلوغرافية
العنوان: Description of classification algorithms and complete feature set used in the study from Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep
المؤلفون: Jasmeet Kaler, Jurgen Mitsch, Jorge A. Vázquez-Diosdado, Nicola Bollard, Tania Dottorini, Keith A. Ellis
سنة النشر: 2019
المجموعة: The Royal Society: Figshare
مصطلحات موضوعية: Biomedical Engineering not elsewhere classified, Animal Behaviour, Pattern Recognition and Data Mining, sheep behaviour, lameness, machine learning, accelerometer and gyroscope, sensor, signal processing, precision livestock farming
الوصف: Classification algorithm and list of features used
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://figshare.com/articles/journal_contribution/Description_of_classification_algorithms_and_complete_feature_set_used_in_the_study_from_Automated_detection_of_lameness_in_sheep_using_machine_learning_approaches_novel_insights_into_behavioural_differences_among_lame_and_non-lame_sheep/11397729
DOI: 10.6084/m9.figshare.11397729.v1
الاتاحة: https://doi.org/10.6084/m9.figshare.11397729.v1
https://figshare.com/articles/journal_contribution/Description_of_classification_algorithms_and_complete_feature_set_used_in_the_study_from_Automated_detection_of_lameness_in_sheep_using_machine_learning_approaches_novel_insights_into_behavioural_differences_among_lame_and_non-lame_sheep/11397729
Rights: CC BY 4.0
رقم الانضمام: edsbas.5464B8EF
قاعدة البيانات: BASE
الوصف
DOI:10.6084/m9.figshare.11397729.v1