Open access
Sep 2026
Hybrid Deep Learning Structure for Classifying ECG Signals Using CNN, MVO-Based Feature Selection, and SVM
A proposed hybrid framework that combines a convolutional neural network (CNN) with a support vector machine (SVM) with a support vector machine (SVM) for ECG signal classification outperformed existing techniques and significantly improved accuracy.
Shelan K. Ahmed, Serwan A. Mohammed, Ahmed Kh. Mohammed
· International Journal of Onl... · 0 citations