Abstract: Early and accurate detection of network intrusions is crucial to ensure network security and stability. Existing network intrusion detection methods mainly use conventional machine learning ...
This eBook explores the latest advances in iPSC-derived models, highlighting how they bridge preclinical and clinical ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Abstract: This study introduces a novel framework, G3Reg, for fast and robust global registration of LiDAR point clouds. In contrast to conventional complex keypoints and descriptors, we extract ...
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