Source: Proceedings. Conference titles: 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Unidade: EESC
Subjects: ROBÓTICA, SENSOR, INTELIGÊNCIA ARTIFICIAL
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PÉREZ IBARRA, Juan Carlos et al. Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects. Proceedings. [s.l.]: IEEE/ASME. Disponível em: https://doi.org/10.1109/AIM43001.2020.9158938. Acesso em: 20 ago. 2024. , 2020APA
Pérez Ibarra, J. C., Siqueira, A. A. G., Terra, M. H., & Krebs, H. I. (2020). Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects. Proceedings. [s.l.]: IEEE/ASME. doi:10.1109/AIM43001.2020.9158938NLM
Pérez Ibarra JC, Siqueira AAG, Terra MH, Krebs HI. Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects [Internet]. Proceedings. 2020 ;[citado 2024 ago. 20 ] Available from: https://doi.org/10.1109/AIM43001.2020.9158938Vancouver
Pérez Ibarra JC, Siqueira AAG, Terra MH, Krebs HI. Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects [Internet]. Proceedings. 2020 ;[citado 2024 ago. 20 ] Available from: https://doi.org/10.1109/AIM43001.2020.9158938