Digital signal analysis based on convolutional neural networks for active target time projection chambers (2022)
- Authors:
- USP affiliated authors: GUIMARAES, VALDIR - IF ; FORTINO, GUILHERME FERRARI - IF
- Unidade: IF
- Subjects: REDES NEURAIS; ESTRUTURAS DE DADOS
- Language: Inglês
- Imprenta:
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ABNT
FORTINO, Guilherme Ferrari et al. Digital signal analysis based on convolutional neural networks for active target time projection chambers. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2202.12941.pdf. Acesso em: 11 nov. 2024. , 2022 -
APA
Fortino, G. F., Zamora, J. C., Tamayose, L. E., & Guimarães, V. (2022). Digital signal analysis based on convolutional neural networks for active target time projection chambers. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2202.12941.pdf -
NLM
Fortino GF, Zamora JC, Tamayose LE, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. 2022 ;[citado 2024 nov. 11 ] Available from: https://arxiv.org/pdf/2202.12941.pdf -
Vancouver
Fortino GF, Zamora JC, Tamayose LE, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. 2022 ;[citado 2024 nov. 11 ] Available from: https://arxiv.org/pdf/2202.12941.pdf - Estudo da reação de breakup 4He(17F,16O+p)4He usando o alvo ativo pAT-TPC: uma abordagem usando técnicas de Machine Learning
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