Source: IEEE Sensors Journal. Unidade: EESC
Subjects: REDES NEURAIS, ESPECTROSCOPIA, APRENDIZADO COMPUTACIONAL, AZEITE, ENGENHARIA ELÉTRICA
ABNT
ALARCON, Julio C. P. et al. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks. IEEE Sensors Journal, p. 1-11, 2024Tradução . . Disponível em: http://dx.doi.org/10.1109/JSEN.2024.3448221. Acesso em: 13 nov. 2024.APA
Alarcon, J. C. P., Souza, M. I. de O., Pepino, V. M., & Borges, B. -H. V. (2024). Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks. IEEE Sensors Journal, 1-11. doi:10.1109/JSEN.2024.3448221NLM
Alarcon JCP, Souza MI de O, Pepino VM, Borges B-HV. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks [Internet]. IEEE Sensors Journal. 2024 ; 1-11.[citado 2024 nov. 13 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3448221Vancouver
Alarcon JCP, Souza MI de O, Pepino VM, Borges B-HV. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks [Internet]. IEEE Sensors Journal. 2024 ; 1-11.[citado 2024 nov. 13 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3448221