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Exhibit · enhancing-arrhythmia-classification-hybrid-cnn-svmrecovered from the archive
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.