Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition (2022)
Escottá, Álvaro Teixeira; Beccaro, Wesley; Arjona Ramírez, Miguel 
Subjects: REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZAGEM PROFUNDA
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ESCOTTÁ, Álvaro Teixeira e BECCARO, Wesley e ARJONA RAMÍREZ, Miguel. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition. Sensors, v. 22, n. 11, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22114226. Acesso em: 01 out. 2024.APA
Escottá, Á. T., Beccaro, W., & Arjona Ramírez, M. (2022). Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition. Sensors, 22( 11). doi:10.3390/s22114226NLM
Escottá ÁT, Beccaro W, Arjona Ramírez M. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition [Internet]. Sensors. 2022 ; 22( 11):[citado 2024 out. 01 ] Available from: https://doi.org/10.3390/s22114226Vancouver
Escottá ÁT, Beccaro W, Arjona Ramírez M. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition [Internet]. Sensors. 2022 ; 22( 11):[citado 2024 out. 01 ] Available from: https://doi.org/10.3390/s22114226
