Benevenuti, Fabio 
; Oliveira, Ádria ; Lopes, Israel da Costa ; Kastensmidt, Fernanda ; Medina, Nilberto Heder ; Added, Nemitala ; Aguiar, Vitor Ângelo Paulino de ; Guazzelli, Marcilei Aparecida
Subjects: FÍSICA NUCLEAR, RADIAÇÃO IONIZANTE, ELETRÔNICA QUÂNTICA, NANOTECNOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BENEVENUTI, Fabio et al. Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA. 2022, Anais.. New York: IEEE, 2022. Disponível em: https://doi.org/10.1109/RADECS47380.2019.9745650. Acesso em: 14 nov. 2024.APA
Benevenuti, F., Oliveira, Á., Lopes, I. da C., Kastensmidt, F., Medina, N. H., Added, N., et al. (2022). Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA. In . New York: IEEE. doi:10.1109/RADECS47380.2019.9745650NLM
Benevenuti F, Oliveira Á, Lopes I da C, Kastensmidt F, Medina NH, Added N, Aguiar VÂP de, Guazzelli MA. Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA [Internet]. 2022 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/RADECS47380.2019.9745650Vancouver
Benevenuti F, Oliveira Á, Lopes I da C, Kastensmidt F, Medina NH, Added N, Aguiar VÂP de, Guazzelli MA. Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA [Internet]. 2022 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/RADECS47380.2019.9745650
