Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, RESISTÊNCIA MICROBIANA ÀS DROGAS, ESPECTROSCOPIA INFRAVERMELHA
ABNT
PATIÑO, Claudia Patricia Barrera et al. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf. Acesso em: 26 ago. 2024.APA
Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2024). Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdfNLM
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms [Internet]. Program. 2024 ;[citado 2024 ago. 26 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdfVancouver
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms [Internet]. Program. 2024 ;[citado 2024 ago. 26 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf