Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
Abstract: This letter proposes an efficient method to reduce path splits in the successive cancellation list (SCL) decoding. We construct the boundary consisting of ...
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
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