Source: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Unidades: IME, IF
Subjects: REDES NEURAIS, PROCESSAMENTO DE SINAIS
ABNT
FORTINO, Guilherme Ferrari et al. Digital signal analysis based on convolutional neural networks for active target time projection chambers. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, v. 1031, n. artigo 166497, p. 1-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.nima.2022.166497. Acesso em: 06 jun. 2023.APA
Fortino, G. F., Cardona, J. C. Z., Tamayose, L. E., Hirata, N. S. T., & Guimarães, V. (2022). Digital signal analysis based on convolutional neural networks for active target time projection chambers. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1031( artigo 166497), 1-7. doi:10.1016/j.nima.2022.166497NLM
Fortino GF, Cardona JCZ, Tamayose LE, Hirata NST, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2022 ; 1031( artigo 166497): 1-7.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1016/j.nima.2022.166497Vancouver
Fortino GF, Cardona JCZ, Tamayose LE, Hirata NST, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2022 ; 1031( artigo 166497): 1-7.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1016/j.nima.2022.166497