Point cloud completion aims to acquire complete and high-fidelity point clouds from partial and low-quality point clouds, which are used in remote sensing applications. Existing methods tend to solve ...

An important method for handling non-differentiability is to locally correct the function values near the non-differentiable points, to make the entire function differentiable. Huberization is a ...

By leveraging AI-powered knowledge graphs, organizations can not only meet today’s customer expectations but also anticipate and adapt to future demands. Unlocking the Power of Knowledge Graphs ...

Tana snaps up $25M as its AI-powered knowledge graph for work racks up a 160K+ waitlist Ingrid Lunden 2:00 AM PST · February 3, 2025 ...

The Multi-level Graph Convolution Neural Network (MLGCN) model is an ultra-efficient approach for 3D point cloud analysis that utilizes shallow Graph Neural Networks (GNN) blocks to extract features ...

10 key data points and graphs about loss of shoreline on Minnesota’s lakes Plants grow on the Gull Lake shoreline on Dorothy Whitmer’s property in East Gull Lake on June 3.

Ionic liquids (ILs) have wide and promising applications in fields such as chemical engineering, energy, and the environment. However, the melting points (MPs) of ILs are one of the most crucial ...