Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Abstract: Normal estimation is a critical task in point cloud analysis, especially in cultural heritage preservation and digitization. However, due to errors from acquisition devices and environmental ...

Abstract: LiDAR is one of the most promising scanning technologies with a wide range of applications. It is commonly used for geodetic and cartographic tasks, allowing for the scanning and ...

Abstract: The Tomasulo algorithm is a computer architecture hardware algorithm used for dynamic scheduling of instruction. The reservation station changes the read-write control mechanism of the ...

Abstract: The fixed-point iteration method is widely used in electromagnetic field analysis involving hysteresis property due to its strong robustness, but it has the problem of low computational ...

Abstract: Point-cloud registration and stitching are important topics in the field of robot navigation and 3D reconstruction, e.g., the accuracy of point cloud registration and stitching in robot ...

Abstract: Incorporating magnetic hysteresis in time-stepped finite element analysis is still challenging as the reluctivity exhibits a discontinuity at the reversal points when using the fixed-point ...

Abstract: This article concentrates on distributed optimization over networks with communication delays. Each subsystem in the network performs its local updates by using the information received from ...

LinkedIn's algorithm has changed, making old tactics obsolete. Align your profile with content topics. Prioritize "saves" as the key engagement metric by creating valuable, referenceable content. Post ...

Abstract: The acquisition of targets’ complete point cloud model is crucial for tasks such as 3D reconstruction and disordered grasping. Shooting targets from multiple perspectives and registering ...