Subjects: ELETROMIOGRAFIA, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, TECNOLOGIA ASSISTIVA, INTERFACE HOMEM-COMPUTADOR
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: 11 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.phpNLM
Becman EC. Machine learning strategies for enhancing myoelectric regression performance in the face of training and testing condition differences [Internet]. 2026 ;[citado 2026 abr. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3152/tde-17032026-144015/pt-br.phpVancouver
Becman EC. Machine learning strategies for enhancing myoelectric regression performance in the face of training and testing condition differences [Internet]. 2026 ;[citado 2026 abr. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3152/tde-17032026-144015/pt-br.php
