Abstract: In this paper, we construct new quantum convolutional codes (QCCs) from classical self-orthogonal convolutional (CSOC) codes. We develop a methodology that achieves the required code ...
Abstract: To alleviate the expensive human labeling problem, semi-supervised semantic segmentation utilizes a few labeled images along with an abundance of unlabeled images to predict the pixel-level ...
Critical infrastructures increasingly rely on AI-generated content (AIGC) for monitoring, decision support, and autonomous control. This dependence creates new attack surfaces: forged maintenance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results