We propose MedNet, a lightweight and efficient CNN architecture that integrates depthwise separable convolutions and CBAM to improve classification accuracy on medical image datasets. We design a ...
This study addresses the efficiency and feature extraction constraints of high-performance Support Vector Machine (SVM) implementations, specifically ThunderSVM, in handling large-scale image datasets ...
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