Deep learning techniques applied to the physics of extensive air showers (2019)
GUILLÉN, A.; Bueno, A; Carceller, J.M.; Velazquez, J.C. Matinez; Rubio, G.; Peixoto, Carlos Jose Todero 
; Sanchez-Lucas, Patricia
Fonte: Astroparticle physics. Unidade: EEL
Assuntos: REDES NEURAIS, RAIOS CÓSMICOS
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GUILLÉN, A. et al. Deep learning techniques applied to the physics of extensive air showers. Astroparticle physics, v. 111, p. 12-22, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.astropartphys.2019.03.001. Acesso em: 06 out. 2024.APA
GUILLÉN, A., Bueno, A., Carceller, J. M., Velazquez, J. C. M., Rubio, G., Peixoto, C. J. T., & Sanchez-Lucas, P. (2019). Deep learning techniques applied to the physics of extensive air showers. Astroparticle physics, 111, 12-22. doi:10.1016/j.astropartphys.2019.03.001NLM
GUILLÉN A, Bueno A, Carceller JM, Velazquez JCM, Rubio G, Peixoto CJT, Sanchez-Lucas P. Deep learning techniques applied to the physics of extensive air showers [Internet]. Astroparticle physics. 2019 ; 111 12-22.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.astropartphys.2019.03.001Vancouver
GUILLÉN A, Bueno A, Carceller JM, Velazquez JCM, Rubio G, Peixoto CJT, Sanchez-Lucas P. Deep learning techniques applied to the physics of extensive air showers [Internet]. Astroparticle physics. 2019 ; 111 12-22.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.astropartphys.2019.03.001
