Fonte: Abstracts. Nome do evento: Photonics West. Unidade: IFSC
Assuntos: ÓPTICA, APRENDIZADO COMPUTACIONAL, ANTIBIÓTICOS
ABNT
PATIÑO, Claudia Patricia Barrera et al. Implementation of machine learning study in Staphylococcus aureus’s FTIR spectra to antibiotic resistance identification. 2024, Anais.. Bellingham: International Society for Optical Engineering - SPIE, 2024. . Acesso em: 23 abr. 2024.APA
Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2024). Implementation of machine learning study in Staphylococcus aureus’s FTIR spectra to antibiotic resistance identification. In Abstracts. Bellingham: International Society for Optical Engineering - SPIE.NLM
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Implementation of machine learning study in Staphylococcus aureus’s FTIR spectra to antibiotic resistance identification. Abstracts. 2024 ;[citado 2024 abr. 23 ]Vancouver
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Implementation of machine learning study in Staphylococcus aureus’s FTIR spectra to antibiotic resistance identification. Abstracts. 2024 ;[citado 2024 abr. 23 ]