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  • Source: Journal of Signal Processing Systems. Unidades: ICMC, EESC

    Subjects: HARDWARE, ANÁLISE DE DADOS

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      OLIVEIRA, Caio C. S e BONATO, Vanderlei. A FAST hardware decoder optimized for template features to obtain order book Data in low latency. Journal of Signal Processing Systems, v. 95, p. 559-567, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11265-023-01850-2. Acesso em: 14 nov. 2024.
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      Oliveira, C. C. S., & Bonato, V. (2023). A FAST hardware decoder optimized for template features to obtain order book Data in low latency. Journal of Signal Processing Systems, 95, 559-567. doi:10.1007/s11265-023-01850-2
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      Oliveira CCS, Bonato V. A FAST hardware decoder optimized for template features to obtain order book Data in low latency [Internet]. Journal of Signal Processing Systems. 2023 ; 95 559-567.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11265-023-01850-2
    • Vancouver

      Oliveira CCS, Bonato V. A FAST hardware decoder optimized for template features to obtain order book Data in low latency [Internet]. Journal of Signal Processing Systems. 2023 ; 95 559-567.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11265-023-01850-2
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BOLSA DE VALORES, PREÇO DE AÇÕES

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      BILEKI, Guilherme Augusto et al. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, v. 116, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108274. Acesso em: 14 nov. 2024.
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      Bileki, G. A., Barboza, F. L. de M., Silva, L. H. C., & Bonato, V. (2022). Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, 116, 1-13. doi:10.1016/j.asoc.2021.108274
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      Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
    • Vancouver

      Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
  • Source: Applied Soft Computing Journal. Unidade: ICMC

    Subjects: HARDWARE, INFERÊNCIA, CONSUMO DE ENERGIA ELÉTRICA

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      BONATO, Vanderlei e BOUGANIS, Christos-Savvas. Class-specific early exit design methodology for convolutional neural networks. Applied Soft Computing Journal, v. 107, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107316. Acesso em: 14 nov. 2024.
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      Bonato, V., & Bouganis, C. -S. (2021). Class-specific early exit design methodology for convolutional neural networks. Applied Soft Computing Journal, 107, 1-12. doi:10.1016/j.asoc.2021.107316
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      Bonato V, Bouganis C-S. Class-specific early exit design methodology for convolutional neural networks [Internet]. Applied Soft Computing Journal. 2021 ; 107 1-12.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2021.107316
    • Vancouver

      Bonato V, Bouganis C-S. Class-specific early exit design methodology for convolutional neural networks [Internet]. Applied Soft Computing Journal. 2021 ; 107 1-12.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2021.107316
  • Source: IEEE Transactions on Computers. Unidade: ICMC

    Subjects: HARDWARE, ANÁLISE DE DESEMPENHO

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      PERINA, André Bannwart et al. Fast resource and timing aware design optimisation for high-level synthesis. IEEE Transactions on Computers, v. 70, n. 12, p. 2070-2082, 2021Tradução . . Disponível em: https://doi.org/10.1109/TC.2021.3112260. Acesso em: 14 nov. 2024.
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      Perina, A. B., Silitonga, A., Becker, J., & Bonato, V. (2021). Fast resource and timing aware design optimisation for high-level synthesis. IEEE Transactions on Computers, 70( 12), 2070-2082. doi:10.1109/TC.2021.3112260
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      Perina AB, Silitonga A, Becker J, Bonato V. Fast resource and timing aware design optimisation for high-level synthesis [Internet]. IEEE Transactions on Computers. 2021 ; 70( 12): 2070-2082.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TC.2021.3112260
    • Vancouver

      Perina AB, Silitonga A, Becker J, Bonato V. Fast resource and timing aware design optimisation for high-level synthesis [Internet]. IEEE Transactions on Computers. 2021 ; 70( 12): 2070-2082.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TC.2021.3112260
  • Source: Microprocessors and Microsystems. Unidade: ICMC

    Subjects: LAÇOS, HARDWARE, TEMPO

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      ROSA, Leandro de Souza e BOUGANIS, Christos-Savvas e BONATO, Vanderlei. Non-iterative SDC modulo scheduling for high-level synthesis. Microprocessors and Microsystems, v. 86, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.micpro.2021.104334. Acesso em: 14 nov. 2024.
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      Rosa, L. de S., Bouganis, C. -S., & Bonato, V. (2021). Non-iterative SDC modulo scheduling for high-level synthesis. Microprocessors and Microsystems, 86, 1-13. doi:10.1016/j.micpro.2021.104334
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      Rosa L de S, Bouganis C-S, Bonato V. Non-iterative SDC modulo scheduling for high-level synthesis [Internet]. Microprocessors and Microsystems. 2021 ; 86 1-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.micpro.2021.104334
    • Vancouver

      Rosa L de S, Bouganis C-S, Bonato V. Non-iterative SDC modulo scheduling for high-level synthesis [Internet]. Microprocessors and Microsystems. 2021 ; 86 1-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.micpro.2021.104334
  • Source: Journal of Signal Processing Systems. Unidade: ICMC

    Subjects: COMPUTAÇÃO RECONFIGURÁVEL, SISTEMAS EMBUTIDOS, ROBÓTICA, COMPUTAÇÃO EVOLUTIVA

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      ROSA, Leandro de Souza et al. A Faddeev systolic array for EKF-SLAM and its arithmetic data representation impact on FPGA. Journal of Signal Processing Systems, v. 90, n. 3, p. 357-369, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11265-017-1243-9. Acesso em: 14 nov. 2024.
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      Rosa, L. de S., Dasu, A., Diniz, P. C., & Bonato, V. (2018). A Faddeev systolic array for EKF-SLAM and its arithmetic data representation impact on FPGA. Journal of Signal Processing Systems, 90( 3), 357-369. doi:10.1007/s11265-017-1243-9
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      Rosa L de S, Dasu A, Diniz PC, Bonato V. A Faddeev systolic array for EKF-SLAM and its arithmetic data representation impact on FPGA [Internet]. Journal of Signal Processing Systems. 2018 ; 90( 3): 357-369.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11265-017-1243-9
    • Vancouver

      Rosa L de S, Dasu A, Diniz PC, Bonato V. A Faddeev systolic array for EKF-SLAM and its arithmetic data representation impact on FPGA [Internet]. Journal of Signal Processing Systems. 2018 ; 90( 3): 357-369.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11265-017-1243-9
  • Source: Microprocessors and Microsystems. Unidade: ICMC

    Subjects: COMPUTAÇÃO RECONFIGURÁVEL, SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      BOUGANIS, Christos-Savvas e GORGON, Marek e BONATO, Vanderlei. Special issue on applied reconfigurable computing [Editorial]. Microprocessors and Microsystems. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.micpro.2017.05.010. Acesso em: 14 nov. 2024. , 2017
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      Bouganis, C. -S., Gorgon, M., & Bonato, V. (2017). Special issue on applied reconfigurable computing [Editorial]. Microprocessors and Microsystems. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.micpro.2017.05.010
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      Bouganis C-S, Gorgon M, Bonato V. Special issue on applied reconfigurable computing [Editorial] [Internet]. Microprocessors and Microsystems. 2017 ; 52 1.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.micpro.2017.05.010
    • Vancouver

      Bouganis C-S, Gorgon M, Bonato V. Special issue on applied reconfigurable computing [Editorial] [Internet]. Microprocessors and Microsystems. 2017 ; 52 1.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.micpro.2017.05.010
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      ROSA, L. S et al. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, v. 49, p. 447-461, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2016.08.035. Acesso em: 14 nov. 2024.
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      Rosa, L. S., Delbem, A. C. B., Toledo, C. F. M., & Bonato, V. (2016). Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, 49, 447-461. doi:10.1016/j.asoc.2016.08.035
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      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
    • Vancouver

      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
  • Source: Electronics Letters. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      ROSA, Leandro de Souza e TOLEDO, Claudio Fabiano Motta e BONATO, Vanderlei. Accelerating floating-point to fixed-point data type conversion with evolutionary algorithms. Electronics Letters, v. Fe 2015, n. 3, p. 244-246, 2015Tradução . . Disponível em: https://doi.org/10.1049/el.2014.3791. Acesso em: 14 nov. 2024.
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      Rosa, L. de S., Toledo, C. F. M., & Bonato, V. (2015). Accelerating floating-point to fixed-point data type conversion with evolutionary algorithms. Electronics Letters, Fe 2015( 3), 244-246. doi:10.1049/el.2014.3791
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      Rosa L de S, Toledo CFM, Bonato V. Accelerating floating-point to fixed-point data type conversion with evolutionary algorithms [Internet]. Electronics Letters. 2015 ; Fe 2015( 3): 244-246.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1049/el.2014.3791
    • Vancouver

      Rosa L de S, Toledo CFM, Bonato V. Accelerating floating-point to fixed-point data type conversion with evolutionary algorithms [Internet]. Electronics Letters. 2015 ; Fe 2015( 3): 244-246.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1049/el.2014.3791
  • Source: Journal of Physics: Conference Series. Conference titles: Brazilian Symposium on High Performance Computational Systems - WSCAD 2014. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      PORTO, Lucas F. et al. LALPC: exploiting parallelism from FPGAS using C language. Journal of Physics: Conference Series. Bristol: Institute of Physics - IOP. Disponível em: https://doi.org/10.1088/1742-6596/649/1/012001. Acesso em: 14 nov. 2024. , 2015
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      Porto, L. F., Fernandes, M. M., Bonato, V., & Menotti, R. (2015). LALPC: exploiting parallelism from FPGAS using C language. Journal of Physics: Conference Series. Bristol: Institute of Physics - IOP. doi:10.1088/1742-6596/649/1/012001
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      Porto LF, Fernandes MM, Bonato V, Menotti R. LALPC: exploiting parallelism from FPGAS using C language [Internet]. Journal of Physics: Conference Series. 2015 ; 649 012001-1 - 012001-14.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1742-6596/649/1/012001
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      Porto LF, Fernandes MM, Bonato V, Menotti R. LALPC: exploiting parallelism from FPGAS using C language [Internet]. Journal of Physics: Conference Series. 2015 ; 649 012001-1 - 012001-14.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1742-6596/649/1/012001
  • Source: Journal of Signal Processing Systems. Unidade: ICMC

    Subjects: ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, SISTEMAS EMBUTIDOS, ROBÓTICA, COMPUTAÇÃO EVOLUTIVA

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      BONATO, Vanderlei et al. A Mersenne twister hardware implementation for the Monte Carlo localization algorithm. Journal of Signal Processing Systems, v. 70, n. 1, p. 75-85, 2013Tradução . . Disponível em: https://doi.org/10.1007/s11265-012-0661-y. Acesso em: 14 nov. 2024.
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      Bonato, V., Mazzotti, B. F., Fernandes, M. M., & Marques, E. (2013). A Mersenne twister hardware implementation for the Monte Carlo localization algorithm. Journal of Signal Processing Systems, 70( 1), 75-85. doi:10.1007/s11265-012-0661-y
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      Bonato V, Mazzotti BF, Fernandes MM, Marques E. A Mersenne twister hardware implementation for the Monte Carlo localization algorithm [Internet]. Journal of Signal Processing Systems. 2013 ; 70( 1): 75-85.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11265-012-0661-y
    • Vancouver

      Bonato V, Mazzotti BF, Fernandes MM, Marques E. A Mersenne twister hardware implementation for the Monte Carlo localization algorithm [Internet]. Journal of Signal Processing Systems. 2013 ; 70( 1): 75-85.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11265-012-0661-y

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