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of 2
pro vyhledávání: '"Faremi, Boluwatife E."'
Machine learning (ML) models trained on subjective self-report scores struggle to objectively classify pain accurately due to the significant variance between real-time pain experiences and recorded scores afterwards. This study developed two devices
Externí odkaz:
http://arxiv.org/abs/2308.00886
Autor:
Faremi, Boluwatife E., Ayodele, Kayode P., Jubril, Abimbola M., Fakunle, Afeez A., Olaogun, Mathew O. B., Fawale, Micheal B., Komolafe, Morenikeji A.
A proportional iterative learning control (P-ILC) for linear models of an existing hybrid stroke rehabilitation scheme is implemented for elbow extension/flexion during a rehabilitative task. Owing to transient error growth problem of P-ILC, a learni
Externí odkaz:
http://arxiv.org/abs/2207.07289