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For: McVey C, Egger D, Pinedo P. Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning. Sensors (Basel) 2022;22:8347. [PMID: 36366045 PMCID: PMC9653925 DOI: 10.3390/s22218347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Number Cited by Other Article(s)
1
McVey C, Hsieh F, Manriquez D, Pinedo P, Horback K. Invited Review: Applications of unsupervised machine learning in livestock behavior: Case studies in recovering unanticipated behavioral patterns from precision livestock farming data streams. APPLIED ANIMAL SCIENCE 2023. [DOI: 10.15232/aas.2022-02335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
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