Annemarie Murphy, Benjamin Bailey, Joanne Arciuli
ABRACADABRA literacy instruction for children with Down syndrome via telepractice during COVID-19: A pilot study
The British journal of educational psychology
diagnosis human knee abnormalities using surface electromyography semg signal obtained lower limb muscles machine learning major problem due noisy nature semg signal imbalance data corresponding healthy knee abnormal subjects address challenge combination wavelet decomposition wd ensemble empirical mode decomposition eemd synthetic minority oversampling technique swdeemd proposed study hybrid wdeemd considered minimization noises produced semg signal collection synthetic minority oversampling technique smote considered balance data increasing minority class samples training machine learning techniques findings indicate hybrid wdeemd smote oversampling technique enhances efficacy examined classifiers employed imbalanced semg data fscore extra tree classifier utilizing wdeemd signal processing smote oversampling 984 whereas without smote oversampling technique 951