Filtros : "BECMAN, ERIC CITO" Limpar

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  • Unidade: EP

    Subjects: ELETROMIOGRAFIA, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, TECNOLOGIA ASSISTIVA, INTERFACE HOMEM-COMPUTADOR

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    • ABNT

      BECMAN, Eric Cito. Machine learning strategies for enhancing myoelectric regression performance in the face of training and testing condition differences. 2026. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2026. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3152/tde-17032026-144015/pt-br.php. Acesso em: 26 abr. 2026.
    • APA

      Becman, E. C. (2026). Machine learning strategies for enhancing myoelectric regression performance in the face of training and testing condition differences (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3152/tde-17032026-144015/pt-br.php
    • NLM

      Becman EC. Machine learning strategies for enhancing myoelectric regression performance in the face of training and testing condition differences [Internet]. 2026 ;[citado 2026 abr. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3152/tde-17032026-144015/pt-br.php
    • Vancouver

      Becman EC. Machine learning strategies for enhancing myoelectric regression performance in the face of training and testing condition differences [Internet]. 2026 ;[citado 2026 abr. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3152/tde-17032026-144015/pt-br.php
  • Source: Expert systems with applications. Unidade: EP

    Subjects: TECNOLOGIA ASSISTIVA, BIOMECÂNICA, APRENDIZADO COMPUTACIONAL, ELETROMIOGRAFIA

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    • ABNT

      BECMAN, Eric Cito et al. A comparison study of myoelectric regression performances when estimating different types of joint kinematic data. Expert systems with applications, v. No 2024, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.124345. Acesso em: 26 abr. 2026.
    • APA

      Becman, E. C., Driemeier, L., Levin, O., Swinnen, S. P., & Forner Cordero, A. (2024). A comparison study of myoelectric regression performances when estimating different types of joint kinematic data. Expert systems with applications, No 2024, 1-20. doi:10.1016/j.eswa.2024.124345
    • NLM

      Becman EC, Driemeier L, Levin O, Swinnen SP, Forner Cordero A. A comparison study of myoelectric regression performances when estimating different types of joint kinematic data [Internet]. Expert systems with applications. 2024 ; No 2024 1-20.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1016/j.eswa.2024.124345
    • Vancouver

      Becman EC, Driemeier L, Levin O, Swinnen SP, Forner Cordero A. A comparison study of myoelectric regression performances when estimating different types of joint kinematic data [Internet]. Expert systems with applications. 2024 ; No 2024 1-20.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1016/j.eswa.2024.124345
  • Source: Sensors. Unidade: EP

    Subjects: ROBÓTICA, LOCOMOÇÃO, APRENDIZADO COMPUTACIONAL, ALGORITMOS PARA PROCESSAMENTO

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    • ABNT

      IGUAL, Jorge et al. Time series classification for predicting biped robot step viability. Sensors, v. No 2024, n. 22, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24227107. Acesso em: 26 abr. 2026.
    • APA

      Igual, J., Americano, P. P., Becman, E. C., & Forner Cordero, A. (2024). Time series classification for predicting biped robot step viability. Sensors, No 2024( 22), 1-18. doi:10.3390/s24227107
    • NLM

      Igual J, Americano PP, Becman EC, Forner Cordero A. Time series classification for predicting biped robot step viability [Internet]. Sensors. 2024 ; No 2024( 22): 1-18.[citado 2026 abr. 26 ] Available from: https://doi.org/10.3390/s24227107
    • Vancouver

      Igual J, Americano PP, Becman EC, Forner Cordero A. Time series classification for predicting biped robot step viability [Internet]. Sensors. 2024 ; No 2024( 22): 1-18.[citado 2026 abr. 26 ] Available from: https://doi.org/10.3390/s24227107
  • Source: Biomimetics. Unidade: EP

    Subjects: BIOMECÂNICA, LOCOMOÇÃO, ROBÔS, ALGORITMOS

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    • ABNT

      AMERICANO, Pedro Parik et al. Biped gait stability classification based on the predicted step viability. Biomimetics, v. 9, n. 5, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.3390/biomimetics9050265. Acesso em: 26 abr. 2026.
    • APA

      Americano, P. P., Igual, J., Driemeier, L., Becman, E. C., & Forner Cordero, A. (2024). Biped gait stability classification based on the predicted step viability. Biomimetics, 9( 5), 1-16. doi:10.3390/biomimetics9050265
    • NLM

      Americano PP, Igual J, Driemeier L, Becman EC, Forner Cordero A. Biped gait stability classification based on the predicted step viability [Internet]. Biomimetics. 2024 ; 9( 5): 1-16.[citado 2026 abr. 26 ] Available from: https://doi.org/10.3390/biomimetics9050265
    • Vancouver

      Americano PP, Igual J, Driemeier L, Becman EC, Forner Cordero A. Biped gait stability classification based on the predicted step viability [Internet]. Biomimetics. 2024 ; 9( 5): 1-16.[citado 2026 abr. 26 ] Available from: https://doi.org/10.3390/biomimetics9050265
  • Source: IEEE journal of biomedical and health informatics. Unidade: EP

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ELETROMIOGRAFIA, SINAIS BIOMÉDICOS

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    • ABNT

      BECMAN, Eric Cito et al. Asymmetric effects of different training-testing mismatch types on myoelectric regression via deep learning. IEEE journal of biomedical and health informatics, v. 27, n. 4, p. 1857-1868, 2023Tradução . . Disponível em: https://doi.org/10.1109/JBHI.2023.3238966. Acesso em: 26 abr. 2026.
    • APA

      Becman, E. C., Driemeier, L., Levin, O., Swinnen, S. P., & Forner Cordero, A. (2023). Asymmetric effects of different training-testing mismatch types on myoelectric regression via deep learning. IEEE journal of biomedical and health informatics, 27( 4), 1857-1868. doi:10.1109/JBHI.2023.3238966
    • NLM

      Becman EC, Driemeier L, Levin O, Swinnen SP, Forner Cordero A. Asymmetric effects of different training-testing mismatch types on myoelectric regression via deep learning [Internet]. IEEE journal of biomedical and health informatics. 2023 ; 27( 4): 1857-1868.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1109/JBHI.2023.3238966
    • Vancouver

      Becman EC, Driemeier L, Levin O, Swinnen SP, Forner Cordero A. Asymmetric effects of different training-testing mismatch types on myoelectric regression via deep learning [Internet]. IEEE journal of biomedical and health informatics. 2023 ; 27( 4): 1857-1868.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1109/JBHI.2023.3238966
  • Unidade: IB

    Subjects: ELETROMIOGRAFIA, FADIGA MUSCULAR, POTENCIAL ELÉTRICO, FISIOLOGIA

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    • ABNT

      BECMAN, Eric Cito. Effects of increased buffering capacity on electromyogram's power spectrum density behaviour during muscle fatigue. 2019. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2019. Disponível em: https://teses.usp.br/teses/disponiveis/41/41135/tde-18112019-102118/. Acesso em: 26 abr. 2026.
    • APA

      Becman, E. C. (2019). Effects of increased buffering capacity on electromyogram's power spectrum density behaviour during muscle fatigue (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://teses.usp.br/teses/disponiveis/41/41135/tde-18112019-102118/
    • NLM

      Becman EC. Effects of increased buffering capacity on electromyogram's power spectrum density behaviour during muscle fatigue [Internet]. 2019 ;[citado 2026 abr. 26 ] Available from: https://teses.usp.br/teses/disponiveis/41/41135/tde-18112019-102118/
    • Vancouver

      Becman EC. Effects of increased buffering capacity on electromyogram's power spectrum density behaviour during muscle fatigue [Internet]. 2019 ;[citado 2026 abr. 26 ] Available from: https://teses.usp.br/teses/disponiveis/41/41135/tde-18112019-102118/

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