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Open access Sep 2026

A variational autoencoder attention fusion model for zero-day exploit behavior detection VAE-AttNet

Zero-day exploit (ZDE) attacks are among the most severe threats to critical infrastructures such as cloud computing, industrial control, smart grids, and connected vehicles, owing to their unknown, stealthy, and highly destructive nature. Traditional signature- and rule-based intrusion detection is largely ineffective...

Xian-Jun Yang, Zheng Zhao, Li-Peng Wang et al. · 0 citations
Open access Sep 2026

Semantic Segmentation for 3D Point Clouds with Curvature-Aware Sampling and Inverse-Density Weighting

The Curvature-Aware Sampling Network (CASNet) is proposed, a feature-preserving framework that combines curvature-aware sampling, inverse-density weighting, attention pooling, and residual blocks that maintains competitive predictive performance while providing favorable computational efficiency.

Ming-Ming Xiao, Hao Lv, Zhao Chen et al. · 0 citations

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