ReP USP - Resultado da busca

Relatorio tecnico
Ion beam analysis and big data: how data science can support next-generation instrumentation (2022)
Silva, Tiago Fiorini da ; Rodrigues, Cleber Lima ; Saramela, Thiago Badaró ; Tabacniks, Manfredo Harri
Unidade: IF
Assuntos: BIG DATA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Tiago Fiorini da et al. Ion beam analysis and big data: how data science can support next-generation instrumentation. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf. Acesso em: 25 set. 2024. , 2022
APA
Silva, T. F. da, Rodrigues, C. L., Saramela, T. B., & Tabacniks, M. H. (2022). Ion beam analysis and big data: how data science can support next-generation instrumentation. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf
NLM
Silva TF da, Rodrigues CL, Saramela TB, Tabacniks MH. Ion beam analysis and big data: how data science can support next-generation instrumentation [Internet]. 2022 ;[citado 2024 set. 25 ] Available from: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf
Vancouver
Silva TF da, Rodrigues CL, Saramela TB, Tabacniks MH. Ion beam analysis and big data: how data science can support next-generation instrumentation [Internet]. 2022 ;[citado 2024 set. 25 ] Available from: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf
Artigo de periodico
Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks (2021)
Guimarães, Renato da S.; Silva, Tiago Fiorini da ; Rodrigues, Cleber ; Tabacniks, Manfredo ; Bach, Simon; Burwitz, Vassily V.; Paul Hiret ; Matej Mayer
Fonte: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. Unidade: IF
Assuntos: REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL, ESPECTROMETRIA, ESPALHAMENTO, PROCESSAMENTO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUIMARÃES, Renato da S. et al. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, v. 493, p. 28-34, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.nimb.2021.02.010. Acesso em: 25 set. 2024.
APA
Guimarães, R. da S., Silva, T. F. da, Rodrigues, C., Tabacniks, M., Bach, S., Burwitz, V. V., et al. (2021). Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 493, 28-34. doi:10.1016/j.nimb.2021.02.010
NLM
Guimarães R da S, Silva TF da, Rodrigues C, Tabacniks M, Bach S, Burwitz VV, Paul Hiret, Matej Mayer. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2021 ; 493 28-34.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.nimb.2021.02.010
Vancouver
Guimarães R da S, Silva TF da, Rodrigues C, Tabacniks M, Bach S, Burwitz VV, Paul Hiret, Matej Mayer. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2021 ; 493 28-34.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.nimb.2021.02.010
Artigo de periodico
Ion beam analysis and big data: How data science can support next-generation instrumentation (2020)
Silva, Tiago Fiorini da ; Rodrigues, Cleber Lima ; Tabacniks, Manfredo Harri ; Pereira, Hugo David Costa; Saramela, Thiago Badaró ; Guimarães, Renato Oliveira
Fonte: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. Unidade: IF
Assuntos: ÍONS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Tiago Fiorini da et al. Ion beam analysis and big data: How data science can support next-generation instrumentation. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, v. 478, p. 111-115, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.nimb.2020.05.027. Acesso em: 25 set. 2024.
APA
Silva, T. F. da, Rodrigues, C. L., Tabacniks, M. H., Pereira, H. D. C., Saramela, T. B., & Guimarães, R. O. (2020). Ion beam analysis and big data: How data science can support next-generation instrumentation. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 478, 111-115. doi:10.1016/j.nimb.2020.05.027
NLM
Silva TF da, Rodrigues CL, Tabacniks MH, Pereira HDC, Saramela TB, Guimarães RO. Ion beam analysis and big data: How data science can support next-generation instrumentation [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2020 ; 478 111-115.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.nimb.2020.05.027
Vancouver
Silva TF da, Rodrigues CL, Tabacniks MH, Pereira HDC, Saramela TB, Guimarães RO. Ion beam analysis and big data: How data science can support next-generation instrumentation [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2020 ; 478 111-115.[citado 2024 set. 25 ] Available from: https://doi.org/10.1016/j.nimb.2020.05.027

Unidades USP

ReP

Filtros

Autores

Autores USP

Assuntos