Use of triaxial accelerometers and a machine learning algorithm for behavioral identification to assess the effectiveness of a joint supplement in old domestic cats (Felis catus)

被引：0

|

作者：

Liu, Yuting ^{[1
]}

Smit, Michelle ^{[1
]}

Andrews, Christopher ^{[1
]}

Corner-Thomas, Rene ^{[1
]}

Draganova, Ina ^{[1
]}

Thomas, David G. ^{[1
]}

机构：

[1] Massey Univ, Palmerston North, New Zealand

来源：

JOURNAL OF ANIMAL SCIENCE | 2024年 / 102卷

关键词：

cats; degenerative joint disease; nutraceuticals;

D O I：

暂无

中图分类号：

S8 [畜牧、动物医学、狩猎、蚕、蜂];

学科分类号：

0905 ;

摘要：

276

引用

收藏

页码：56 / 57

页数：2

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[1] Use of triaxial accelerometers and a machine learning algorithm for behavioral identification to assess the effectiveness of a joint supplement in old domestic cats (Felis catus)
Liu, Yuting
Smit, Michelle
Andrews, Christopher
Corner-Thomas, Rene
Draganova, Ina
Thomas, David G.
JOURNAL OF ANIMAL SCIENCE, 2024, 102 : 56 - 56
[2] The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Cats (Felis catus): A Validation Study
Smit, Michelle
Ikurior, Seer J.
Corner-Thomas, Rene A.
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Thomas, David G.
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[3] The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs (Canis familiaris): A Validation Study
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Smit, Michelle
Draganova, Ina
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Thomas, David
Andrews, Christopher
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