Konu "classification" için Elektrik-Elektronik Mühendisliği Bölümü listeleme
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Classification of Uroflowmetry and EMG Signals of Pediatric Patients using Artificial Neural Networks
(Ieee, 2017)UF-EMG test, in which non-invasive uroflowmetry (UF) and electromyography (EMG) signals are simultaneously recorded, is frequently used in children diagnosed with lower urinary tract dysfunction disease (AUSD) and its ... -
Feature selection in facial expression analysis and its effect on multi-SVM classifiers
(Gazi Univ, Fac Engineering Architecture, 2009)Facial expressions are non-verbal signs that play important role to provide complete meaning in human communication. While humans can easily comprehend the facial expressions, it is not valid for the computers, thus the ...