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  • Source: Robotica. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA

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      MENDES, Caio César Teodoro e OSÓRIO, Fernando Santos e WOLF, Denis Fernando. Real-time obstacle detection using range images: processing dynamically-sized sliding windows on a GPU. Robotica, v. 35, n. 1, p. 85-100, 2017Tradução . . Disponível em: https://doi.org/10.1017/S0263574714002914. Acesso em: 04 out. 2024.
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      Mendes, C. C. T., Osório, F. S., & Wolf, D. F. (2017). Real-time obstacle detection using range images: processing dynamically-sized sliding windows on a GPU. Robotica, 35( 1), 85-100. doi:10.1017/S0263574714002914
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      Mendes CCT, Osório FS, Wolf DF. Real-time obstacle detection using range images: processing dynamically-sized sliding windows on a GPU [Internet]. Robotica. 2017 ; 35( 1): 85-100.[citado 2024 out. 04 ] Available from: https://doi.org/10.1017/S0263574714002914
    • Vancouver

      Mendes CCT, Osório FS, Wolf DF. Real-time obstacle detection using range images: processing dynamically-sized sliding windows on a GPU [Internet]. Robotica. 2017 ; 35( 1): 85-100.[citado 2024 out. 04 ] Available from: https://doi.org/10.1017/S0263574714002914
  • Source: Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      PAULA, Lauro Cássio Martins de et al. Parallel regressions for variable selection using GPU. Computing, v. 99, n. 3, p. 219-234, 2017Tradução . . Disponível em: https://doi.org/10.1007/s00607-016-0487-8. Acesso em: 04 out. 2024.
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      Paula, L. C. M. de, Soares, A. S., Soares, T. W. L., Galvão Filho, A. R., Coelho, C. J., Delbem, A. C. B., & Martins, W. S. (2017). Parallel regressions for variable selection using GPU. Computing, 99( 3), 219-234. doi:10.1007/s00607-016-0487-8
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      Paula LCM de, Soares AS, Soares TWL, Galvão Filho AR, Coelho CJ, Delbem ACB, Martins WS. Parallel regressions for variable selection using GPU [Internet]. Computing. 2017 ; 99( 3): 219-234.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s00607-016-0487-8
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      Paula LCM de, Soares AS, Soares TWL, Galvão Filho AR, Coelho CJ, Delbem ACB, Martins WS. Parallel regressions for variable selection using GPU [Internet]. Computing. 2017 ; 99( 3): 219-234.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s00607-016-0487-8
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      DIAS, Maurício A. e SALES, Daniel O e OSÓRIO, Fernando Santos. Automatic generation of LUTs for hardware neural networks. Neurocomputing, v. 180, p. 108-120, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.07.111. Acesso em: 04 out. 2024.
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      Dias, M. A., Sales, D. O., & Osório, F. S. (2016). Automatic generation of LUTs for hardware neural networks. Neurocomputing, 180, 108-120. doi:10.1016/j.neucom.2015.07.111
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      Dias MA, Sales DO, Osório FS. Automatic generation of LUTs for hardware neural networks [Internet]. Neurocomputing. 2016 ; 180 108-120.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.neucom.2015.07.111
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      Dias MA, Sales DO, Osório FS. Automatic generation of LUTs for hardware neural networks [Internet]. Neurocomputing. 2016 ; 180 108-120.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.neucom.2015.07.111
  • Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA 2016. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA

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      MENDES, Caio César Teodoro e FRÉMONT, Vincent e WOLF, Denis Fernando. Exploiting fully convolutional neural networks for fast road detection. 2016, Anais.. Los Alamitos, CA: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICRA.2016.7487486. Acesso em: 04 out. 2024.
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      Mendes, C. C. T., Frémont, V., & Wolf, D. F. (2016). Exploiting fully convolutional neural networks for fast road detection. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ICRA.2016.7487486
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      Mendes CCT, Frémont V, Wolf DF. Exploiting fully convolutional neural networks for fast road detection [Internet]. Proceedings. 2016 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1109/ICRA.2016.7487486
    • Vancouver

      Mendes CCT, Frémont V, Wolf DF. Exploiting fully convolutional neural networks for fast road detection [Internet]. Proceedings. 2016 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1109/ICRA.2016.7487486
  • Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA 2016. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA

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      VIVALDINI, Kelen C. T. et al. Route planning for active classification with UAVs. 2016, Anais.. Los Alamitos, CA: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICRA.2016.7487412. Acesso em: 04 out. 2024.
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      Vivaldini, K. C. T., Guizilini, V., Oliveira, M. D. C., Martinelli, T. H., Wolf, D. F., & Ramos, F. (2016). Route planning for active classification with UAVs. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ICRA.2016.7487412
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      Vivaldini KCT, Guizilini V, Oliveira MDC, Martinelli TH, Wolf DF, Ramos F. Route planning for active classification with UAVs [Internet]. Proceedings. 2016 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1109/ICRA.2016.7487412
    • Vancouver

      Vivaldini KCT, Guizilini V, Oliveira MDC, Martinelli TH, Wolf DF, Ramos F. Route planning for active classification with UAVs [Internet]. Proceedings. 2016 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1109/ICRA.2016.7487412
  • Source: Computers and Operations Research. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      TOLEDO, Claudio Fabiano Motta et al. Mathematical programming-based approaches for multi-facility glass container production planning. Computers and Operations Research, v. 74, p. 92-107, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.02.019. Acesso em: 04 out. 2024.
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      Toledo, C. F. M., Arantes, M. da S., Hossomi, M. Y. B., & Almada-Lobo, B. (2016). Mathematical programming-based approaches for multi-facility glass container production planning. Computers and Operations Research, 74, 92-107. doi:10.1016/j.cor.2016.02.019
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      Toledo CFM, Arantes M da S, Hossomi MYB, Almada-Lobo B. Mathematical programming-based approaches for multi-facility glass container production planning [Internet]. Computers and Operations Research. 2016 ; 74 92-107.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.cor.2016.02.019
    • Vancouver

      Toledo CFM, Arantes M da S, Hossomi MYB, Almada-Lobo B. Mathematical programming-based approaches for multi-facility glass container production planning [Internet]. Computers and Operations Research. 2016 ; 74 92-107.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.cor.2016.02.019
  • Source: Electrical Power and Energy Systems. Unidades: EESC, ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      BRANCO, Hermes M. G. C et al. Optimized allocation of power quality monitors in transmission systems: a multiobjective approach. Electrical Power and Energy Systems, v. 64, n. Ja 2015, p. 156–166, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2014.06.064. Acesso em: 04 out. 2024.
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      Branco, H. M. G. C., Oleskovicz, M., Delbem, A. C. B., & Coury, D. V. (2015). Optimized allocation of power quality monitors in transmission systems: a multiobjective approach. Electrical Power and Energy Systems, 64( Ja 2015), 156–166. doi:10.1016/j.ijepes.2014.06.064
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      Branco HMGC, Oleskovicz M, Delbem ACB, Coury DV. Optimized allocation of power quality monitors in transmission systems: a multiobjective approach [Internet]. Electrical Power and Energy Systems. 2015 ; 64( Ja 2015): 156–166.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ijepes.2014.06.064
    • Vancouver

      Branco HMGC, Oleskovicz M, Delbem ACB, Coury DV. Optimized allocation of power quality monitors in transmission systems: a multiobjective approach [Internet]. Electrical Power and Energy Systems. 2015 ; 64( Ja 2015): 156–166.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ijepes.2014.06.064
  • Source: Evolutionary Computation. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      VARGAS, Danilo Vasconcellos et al. General subpopulation framework and taming the conflict inside populations. Evolutionary Computation, v. 23, n. 1, p. 1-36, 2015Tradução . . Acesso em: 04 out. 2024.
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      Vargas, D. V., Murata, J., Takano, H., & Delbem, A. C. B. (2015). General subpopulation framework and taming the conflict inside populations. Evolutionary Computation, 23( 1), 1-36.
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      Vargas DV, Murata J, Takano H, Delbem ACB. General subpopulation framework and taming the conflict inside populations. Evolutionary Computation. 2015 ; 23( 1): 1-36.[citado 2024 out. 04 ]
    • Vancouver

      Vargas DV, Murata J, Takano H, Delbem ACB. General subpopulation framework and taming the conflict inside populations. Evolutionary Computation. 2015 ; 23( 1): 1-36.[citado 2024 out. 04 ]
  • Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA 2015. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA

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      SOUZA, Jefferson R et al. Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images. 2015, Anais.. Los Alamitos, CA: IEEE, 2015. Disponível em: https://doi.org/10.1109/ICRA.2015.7139675. Acesso em: 04 out. 2024.
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      Souza, J. R., Mendes, C. C. T., Guizilini, V. C., Vivaldini, K. C. T., Colturato, A., Ramos, F. T., & Wolf, D. F. (2015). Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ICRA.2015.7139675
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      Souza JR, Mendes CCT, Guizilini VC, Vivaldini KCT, Colturato A, Ramos FT, Wolf DF. Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images [Internet]. Proceedings. 2015 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1109/ICRA.2015.7139675
    • Vancouver

      Souza JR, Mendes CCT, Guizilini VC, Vivaldini KCT, Colturato A, Ramos FT, Wolf DF. Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images [Internet]. Proceedings. 2015 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1109/ICRA.2015.7139675
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      SALES, Daniel O et al. Adaptive finite state machine based visual autonomous navigation system. Engineering Applications of Artificial Intelligence, v. 29, p. 152-162, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2013.12.006. Acesso em: 04 out. 2024.
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      Sales, D. O., Correa, D. O., Fernandes, L. C., Wolf, D. F., & Osório, F. S. (2014). Adaptive finite state machine based visual autonomous navigation system. Engineering Applications of Artificial Intelligence, 29, 152-162. doi:10.1016/j.engappai.2013.12.006
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      Sales DO, Correa DO, Fernandes LC, Wolf DF, Osório FS. Adaptive finite state machine based visual autonomous navigation system [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; 29 152-162.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.engappai.2013.12.006
    • Vancouver

      Sales DO, Correa DO, Fernandes LC, Wolf DF, Osório FS. Adaptive finite state machine based visual autonomous navigation system [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; 29 152-162.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.engappai.2013.12.006
  • Source: International Journal of Natural Computing Research. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      GOIS, Marcilyanne M. et al. A parallel hardware architecture based on node-depth encoding to solve network design problems. International Journal of Natural Computing Research, v. 4, n. Ja-Mar. 2014, p. 54-75, 2014Tradução . . Acesso em: 04 out. 2024.
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      Gois, M. M., Matias, P., Perina, A. B., Bonato, V., & Delbem, A. C. B. (2014). A parallel hardware architecture based on node-depth encoding to solve network design problems. International Journal of Natural Computing Research, 4( Ja-Mar. 2014), 54-75.
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      Gois MM, Matias P, Perina AB, Bonato V, Delbem ACB. A parallel hardware architecture based on node-depth encoding to solve network design problems. International Journal of Natural Computing Research. 2014 ; 4( Ja-Mar. 2014): 54-75.[citado 2024 out. 04 ]
    • Vancouver

      Gois MM, Matias P, Perina AB, Bonato V, Delbem ACB. A parallel hardware architecture based on node-depth encoding to solve network design problems. International Journal of Natural Computing Research. 2014 ; 4( Ja-Mar. 2014): 54-75.[citado 2024 out. 04 ]
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      MARTINS, Jean P e FONSECA, Carlos M e DELBEM, Alexandre Cláudio Botazzo. On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem. Neurocomputing, v. 146, p. 17-29, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.04.069. Acesso em: 04 out. 2024.
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      Martins, J. P., Fonseca, C. M., & Delbem, A. C. B. (2014). On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem. Neurocomputing, 146, 17-29. doi:10.1016/j.neucom.2014.04.069
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      Martins JP, Fonseca CM, Delbem ACB. On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem [Internet]. Neurocomputing. 2014 ; 146 17-29.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.neucom.2014.04.069
    • Vancouver

      Martins JP, Fonseca CM, Delbem ACB. On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem [Internet]. Neurocomputing. 2014 ; 146 17-29.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.neucom.2014.04.069
  • Source: Information Sciences. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      MELO, Vinícius Veloso de e DELBEM, Alexandre Cláudio Botazzo. Investigating smart sampling as a population initialization method for differential evolution in continuous problems. Information Sciences, v. 193, p. 36-53, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2011.12.037. Acesso em: 04 out. 2024.
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      Melo, V. V. de, & Delbem, A. C. B. (2012). Investigating smart sampling as a population initialization method for differential evolution in continuous problems. Information Sciences, 193, 36-53. doi:10.1016/j.ins.2011.12.037
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      Melo VV de, Delbem ACB. Investigating smart sampling as a population initialization method for differential evolution in continuous problems [Internet]. Information Sciences. 2012 ; 193 36-53.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ins.2011.12.037
    • Vancouver

      Melo VV de, Delbem ACB. Investigating smart sampling as a population initialization method for differential evolution in continuous problems [Internet]. Information Sciences. 2012 ; 193 36-53.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ins.2011.12.037
  • Source: Journal of the Brazilian Computer Society. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, ROBÓTICA, COMPUTAÇÃO EVOLUTIVA

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      ROSA, Leandro de Souza e BONATO, Vanderlei. A method to convert floating to fixed-point EKF-SLAM for embedded robotics. Journal of the Brazilian Computer Society, v. 9, n. 33, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1007/s13173-012-0092-4. Acesso em: 04 out. 2024.
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      Rosa, L. de S., & Bonato, V. (2012). A method to convert floating to fixed-point EKF-SLAM for embedded robotics. Journal of the Brazilian Computer Society, 9( 33), 1-12. doi:10.1007/s13173-012-0092-4
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      Rosa L de S, Bonato V. A method to convert floating to fixed-point EKF-SLAM for embedded robotics [Internet]. Journal of the Brazilian Computer Society. 2012 ; 9( 33): 1-12.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s13173-012-0092-4
    • Vancouver

      Rosa L de S, Bonato V. A method to convert floating to fixed-point EKF-SLAM for embedded robotics [Internet]. Journal of the Brazilian Computer Society. 2012 ; 9( 33): 1-12.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s13173-012-0092-4
  • Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      SHINZATO, Patrick Yuri e WOLF, Denis Fernando. A road following approach using artificial neural networks combinations. 2011Tradução . . Disponível em: https://doi.org/10.1007/s10711-010-9565-9. Acesso em: 04 out. 2024.
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      Shinzato, P. Y., & Wolf, D. F. (2011). A road following approach using artificial neural networks combinations. doi:10.1007/s10711-010-9565-9
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      Shinzato PY, Wolf DF. A road following approach using artificial neural networks combinations [Internet]. 2011 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s10711-010-9565-9
    • Vancouver

      Shinzato PY, Wolf DF. A road following approach using artificial neural networks combinations [Internet]. 2011 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s10711-010-9565-9
  • Source: Mechatronics. Unidade: EP

    Subjects: LIGAS METÁLICAS, ROBÓTICA, CONTROLADORES PROGRAMÁVEIS, TERMOELETRICIDADE

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      ROMANO, Roberto e TANNURI, Eduardo Aoun. Modeling, control and experimental validation of a novel actuator based on shape memory alloys. Mechatronics, v. 19, n. 7, p. 1169-1177, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.mechatronics.2009.03.007. Acesso em: 04 out. 2024.
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      Romano, R., & Tannuri, E. A. (2009). Modeling, control and experimental validation of a novel actuator based on shape memory alloys. Mechatronics, 19( 7), 1169-1177. doi:10.1016/j.mechatronics.2009.03.007
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      Romano R, Tannuri EA. Modeling, control and experimental validation of a novel actuator based on shape memory alloys [Internet]. Mechatronics. 2009 ; 19( 7): 1169-1177.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.mechatronics.2009.03.007
    • Vancouver

      Romano R, Tannuri EA. Modeling, control and experimental validation of a novel actuator based on shape memory alloys [Internet]. Mechatronics. 2009 ; 19( 7): 1169-1177.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.mechatronics.2009.03.007
  • Source: Proceedings ISDA 2007. Conference titles: International Conference on Intelligent Systems Design and Applications. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      DUQUE, Thyago Sellmann Pinto Cesar et al. Evolutionary algorithm for large scale problems. 2007, Anais.. Los Alamitos: IEEE Computer Society, 2007. Disponível em: http://ieeexplore.ieee.org/xpl/RecentCon.do?punumber=4389565. Acesso em: 04 out. 2024.
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      Duque, T. S. P. C., Sastry, K., Delbem, A. C. B., & Goldberg, D. E. (2007). Evolutionary algorithm for large scale problems. In Proceedings ISDA 2007. Los Alamitos: IEEE Computer Society. Recuperado de http://ieeexplore.ieee.org/xpl/RecentCon.do?punumber=4389565
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      Duque TSPC, Sastry K, Delbem ACB, Goldberg DE. Evolutionary algorithm for large scale problems [Internet]. Proceedings ISDA 2007. 2007 ;[citado 2024 out. 04 ] Available from: http://ieeexplore.ieee.org/xpl/RecentCon.do?punumber=4389565
    • Vancouver

      Duque TSPC, Sastry K, Delbem ACB, Goldberg DE. Evolutionary algorithm for large scale problems [Internet]. Proceedings ISDA 2007. 2007 ;[citado 2024 out. 04 ] Available from: http://ieeexplore.ieee.org/xpl/RecentCon.do?punumber=4389565
  • Source: Proceedings. Conference titles: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology - CIBCB. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      CANCINO, Waldo e DELBEM, Alexandre Cláudio Botazzo. Multi-criterion phylogenetic inference using evolutionary algorithms. 2007, Anais.. Los Alamitos: IEEE Computational Intelligence Society, 2007. Disponível em: http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=4221193&isYear=2007. Acesso em: 04 out. 2024.
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      Cancino, W., & Delbem, A. C. B. (2007). Multi-criterion phylogenetic inference using evolutionary algorithms. In Proceedings. Los Alamitos: IEEE Computational Intelligence Society. Recuperado de http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=4221193&isYear=2007
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      Cancino W, Delbem ACB. Multi-criterion phylogenetic inference using evolutionary algorithms [Internet]. Proceedings. 2007 ;[citado 2024 out. 04 ] Available from: http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=4221193&isYear=2007
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      Cancino W, Delbem ACB. Multi-criterion phylogenetic inference using evolutionary algorithms [Internet]. Proceedings. 2007 ;[citado 2024 out. 04 ] Available from: http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=4221193&isYear=2007

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