… In addition, we propose an edge-enhancement strategy to enforce the image contours,
which can effectively remove the artifacts and noises produced by the adversarial training, …

… and hierarchical boosting network (FPHBN), for pavement crack detection. The proposed
network … In addition, we propose a novel measurement for crack detection named average …

… edge servers to handle a massive amount of traffic in order to improve network performance.
… Edge computing serves as an additional layer between the cloud and connected devices in …

… at the edge of the network created additional burdens on the … IoT networks have enhanced
network performance in terms … Hence, the overall network performance in terms of communi…

… in the network to enhance network performance and improve resource utilization efficiency.
Thus, an … In addition, we use 200 testing samples to test the performance, and the results are …

… network G and an edge-enhancement network EEN. In this section, we describe the architectures
of both networks … introduced edge consistency loss ( L e d g e _ c s t ) in addition to L i …

… edges and adding “missing” edges that could exist in the original graph can benefit GNN
performance… uses these insights to improve node classification performance in two inference …

… can be used to facilitate the data efficiency as well as improve the network performance. … ,
in addition to being executed locally in VEC, user tasks can be transferred to the network edge …

… to as virtual network functions (VNFs) at edge servers without adding … edge caching can
be applied by caching popular contents at edge servers to improve the network performance …

… hybrid network to enhance the visibility of such degraded images. The proposed network …
From these results, we observe that adding perceptual loss tends to increase PSNR, while …