Abstract: To accurately and efficiently determine the operating state of transformers, based on the driving point admittance method, a trapezoidal equivalent network model for dual-windings ...
Networks of molecules in our body behave as though they have goals and desires. Understanding this phenomenon could solve the ...
AI models are data-movement limited, so the Salience switch enables all optical networking between compute nodes, removing ...
Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...
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Abstract: Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous ...
Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
There are few certainties in life: death, taxes and massively increased workloads on infrastructures through the unstoppable rise of AI. And enterprises and connectivity providers know only too well ...
Abstract: Intramedullary nailing is frequently utilized in the treatment of femoral shaft fractures. However, an incorrect entry point will result in poor reduction of the shattered bones. Furthermore ...
Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
Microsoft announced two new Windows 11 recovery features today at the Ignite developer conference, called Cloud Rebuild and Point-in-Time Restore (PITR), that aim to reduce downtime and make it easier ...
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