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 ...
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 ...
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 ...
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 ...
(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 ...
Abstract: Soft growing robots are being used in various fields owing to their distinct advantages. However, their ability to manipulate tools in different applications is still challenging. In this ...
Abstract: Due to the complex information transfer between devices, sensor signals exhibit complex interactions in large-scale industrial process, making fault diagnosis a challenging task. Despite the ...
US Air Force investigating SharePoint breach exposing PII and PHI across its systems Chinese-linked groups exploited SharePoint flaws Microsoft and US authorities are actively investigating the scope ...
Abstract: As the core component of offshore wind power converter, the encapsulated silicone gel insulation material of insulated gate bipolar transistor (IGBT) module is prone to deterioration under ...
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