Source: Veterinary Medicine International. Unidade: FMVZ
Subjects: APRENDIZADO COMPUTACIONAL, BOVINOS LEITEIROS, MASTITE ANIMAL, TERMOGRAFIA
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SANTANA, Raul Costa Mascarenhas et al. Machine learning techniques associated with infrared thermography to optimize the diagnosis of bovine subclinical mastitis. Veterinary Medicine International, v. 2025, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1155/vmi/5585458. Acesso em: 22 fev. 2026.APA
Santana, R. C. M., Guimarães, E. da S., Caracuschanski, F. D., Brassolatti, L. C., Silva, M. L. da, Garcia, A. R., et al. (2025). Machine learning techniques associated with infrared thermography to optimize the diagnosis of bovine subclinical mastitis. Veterinary Medicine International, 2025, 1-14. doi:10.1155/vmi/5585458NLM
Santana RCM, Guimarães E da S, Caracuschanski FD, Brassolatti LC, Silva ML da, Garcia AR, Pezzopane JRM, Alves TC, Tholon P, Santos MV dos, Zafalon LF. Machine learning techniques associated with infrared thermography to optimize the diagnosis of bovine subclinical mastitis [Internet]. Veterinary Medicine International. 2025 ; 2025 1-14.[citado 2026 fev. 22 ] Available from: https://doi.org/10.1155/vmi/5585458Vancouver
Santana RCM, Guimarães E da S, Caracuschanski FD, Brassolatti LC, Silva ML da, Garcia AR, Pezzopane JRM, Alves TC, Tholon P, Santos MV dos, Zafalon LF. Machine learning techniques associated with infrared thermography to optimize the diagnosis of bovine subclinical mastitis [Internet]. Veterinary Medicine International. 2025 ; 2025 1-14.[citado 2026 fev. 22 ] Available from: https://doi.org/10.1155/vmi/5585458
