Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture

In multi-cat households, monitoring individual cats’ various behaviors is essential for diagnosing their health and ensuring their well-being. This study focuses on the defecation and urination activities of cats, and introduces an adaptive cat identification architecture based on deep learning (DL)...

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Detalles Bibliográficos
Autores principales: Cho, Yonggi, Song, Eungyeol, Ji, Yeongju, Yang, Saetbyeol, Kim, Taehyun, Park, Susang, Baek, Doosan, Yu, Sunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648833/
https://www.ncbi.nlm.nih.gov/pubmed/37960551
http://dx.doi.org/10.3390/s23218852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648833/
https://www.ncbi.nlm.nih.gov/pubmed/37960551
http://dx.doi.org/10.3390/s23218852

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