IEEE

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud

Abstract: Graph convolutional neural networks can effectively process geometric data and thus have been successfully used in point cloud data representation. However, existing graph-based methods ...
IEEE

Using the Multi-head Self-attention Mechanism to Analyze and Extract Key Features from Power Grids with Complex Structures

Abstract: As the proportion of distributed renewable energy generation rises, the structure of regional power grids is becoming more intricate and varied. Representing the spatial characteristics of ...
IEEE

MGMNet: Mutual-Guidance Mechanism for Joint Classification of Multisource Remote Sensing Data

Abstract: The joint classification of multisource remote sensing data has shown significant potential in the precise interpretation of land cover. Existing methods mainly employ a dual-stream ...
IEEE

Explainable Artificial Intelligence (XAI) for Methods Working on Point Cloud Data: A Survey

Abstract: In this work, we provide an overview of the XAI (Explainable Artificial Intelligence) works related to explaining the methods working on point cloud (PC) data. The recent decade has seen a ...
IEEE

Accelerating Point Cloud Sampling by Parallel Structure Deconstruction

Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
EurekAlert!

First complete structures of heat shock chaperone protein complex reveal handoff mechanism

(L to R) Corresponding author Charalampos Babis Kalodimos, PhD, St. Jude Department of Structural Biology chair, and co-first authors Ziad Ibrahim and Youlin Xia, St. Jude Department of Structural ...