Negligible 发表于 2025-3-25 03:34:39
Quantum Autoencoder Frameworks for Network Anomaly Detectioning patterns in the network traffic is critical to identify suspicious behaviors. This paper proposes novel quantum deep autoencoder-based anomaly detection frameworks for accurately detecting the security attacks that emerge in the network. In particular, we propose three frameworks, one by constru生来 发表于 2025-3-25 10:30:52
http://reply.papertrans.cn/67/6637/663644/663644_22.png接合 发表于 2025-3-25 15:03:44
http://reply.papertrans.cn/67/6637/663644/663644_23.png搬运工 发表于 2025-3-25 18:38:13
http://reply.papertrans.cn/67/6637/663644/663644_24.pnginclusive 发表于 2025-3-25 23:19:51
http://reply.papertrans.cn/67/6637/663644/663644_25.pngmetropolitan 发表于 2025-3-26 04:14:04
http://reply.papertrans.cn/67/6637/663644/663644_26.png衍生 发表于 2025-3-26 08:12:15
SGLP-Net: Sparse Graph Label Propagation Network for Weakly-Supervised Temporal Action Localizationproaches have limitations in capturing semantic context, resulting in the risk of ignoring snippets that are far apart but sharing the same action categories. To address this issue, we propose an action label propagation network utilizing sparse graph networks to effectively explore both temporal an极肥胖 发表于 2025-3-26 11:22:52
VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality AssessmentiT-FSIMc Hybrid Siamese Network for Full Reference IQA – that combines signal processing and leaning-based approaches, the two categories of IQA algorithms. Specifically, we design a hybrid Siamese network that leverages the Vision Transformer (ViT) and the feature similarity index measurement (FSIM珍奇 发表于 2025-3-26 14:08:07
http://reply.papertrans.cn/67/6637/663644/663644_29.pngFLAT 发表于 2025-3-26 18:58:59
http://reply.papertrans.cn/67/6637/663644/663644_30.png