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Ahmed Kh. Mohammed

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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 · 0 citations

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