An open-source tool for classification models in resource-constrained hardware (2022)
Source: IEEE Sensors Journal. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS EMBUTIDOS, RECONHECIMENTO DE PADRÕES, SENSOR
ABNT
SILVA, Lucas Tsutsui da e SOUZA, Vinícius Mourão Alves de e BATISTA, Gustavo Enrique de Almeida Prado Alves. An open-source tool for classification models in resource-constrained hardware. IEEE Sensors Journal, v. 22, n. Ja 2022, p. 544-554, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2021.3128130. Acesso em: 14 nov. 2024.APA
Silva, L. T. da, Souza, V. M. A. de, & Batista, G. E. de A. P. A. (2022). An open-source tool for classification models in resource-constrained hardware. IEEE Sensors Journal, 22( Ja 2022), 544-554. doi:10.1109/JSEN.2021.3128130NLM
Silva LT da, Souza VMA de, Batista GE de APA. An open-source tool for classification models in resource-constrained hardware [Internet]. IEEE Sensors Journal. 2022 ; 22( Ja 2022): 544-554.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/JSEN.2021.3128130Vancouver
Silva LT da, Souza VMA de, Batista GE de APA. An open-source tool for classification models in resource-constrained hardware [Internet]. IEEE Sensors Journal. 2022 ; 22( Ja 2022): 544-554.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/JSEN.2021.3128130