Abstract: Sampling theory in fractional Fourier Transform (FrFT) domain has been studied extensively in the last decades. This interest stems from the ability of the FrFT to generalize the traditional ...
Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose significant threats to networked systems, causing disruptions that can lead to substantial financial ...
Abstract: In order to mitigate the influence of outliers in point clouds on voxel down-sampling results and the accuracy of point cloud registration in practical applications, the voxel down-sampling ...
Abstract: Recent advancements in lidar technology have led to improved point cloud resolution as well as the generation of 360° low-resolution images by encoding depth, reflectivity, or near-infrared ...
Abstract: In this paper, we address the problem of efficient point searching and sampling for volume neural rendering. Within this realm, two typical approaches are employed: rasterization and ray ...
Abstract: It is shown that the modernized Nyquist-Shannon theorem, which establishes the theoretical limit for the amount of information that can be obtained based on the analysis of a wave field ...
Abstract: The large volume of data from the point cloud brings significant demands on network bandwidth. However, the current transmission framework only considers using lossy compression to control ...
Abstract: Inverse scattering problems (ISPs) often suffer from severe ill-posedness and nonlinearity. In this article, a parameter identification method that determines the necessary conditions of ...
Abstract: This study explores an innovative approach to enhancing personalized learning through a negative sampling-optimized pedagogical recommendation model. The proposed methodology integrates ...
Abstract: Medical imaging segmentation, particularly in 3D, poses significant challenges related to accuracy and computational cost. Existing 2D prompt segmentation models, such as Segment Anything ...
Abstract: Point clouds have emerged as a preferred representation for 3D information in various immersive applications. The delivery of high-quality point clouds demands a lot of bandwidth, which ...
Abstract: Light detection and ranging (LiDAR) has become one of the most important sensors in 3-D perception. With the advancement of sensor technology, the point cloud data generated by LiDAR have ...
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