Exhibit · enhancing-arrhythmia-classification-hybrid-cnn-svmijicom.respati.ac.id/index.php/ijicom/article/view/191
A data-science journal paper exploring a hybrid CNN and SVM approach to improve arrhythmia classification performance from ECG data.
Journal research on arrhythmia classification using a hybrid CNN + SVM model — combining deep feature extraction with classical machine learning classification to improve accuracy on ECG signals.