After Wi-Fi 7's Speed Push, Wi-Fi 8 Is Turning to Reliability

Wi-Fi 8 is already taking shape, and while it won't raise peak speeds beyond Wi-Fi 7, it promises something just as important ...
IEEE

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

Abstract: 3D single object tracking plays a crucial role in numerous applications such as autonomous driving. Recent trackers based on motion-centric paradigm perform well as they exploit motion cues ...
IEEE

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in many medical applications, such as aneurysm clipping and orthodontic planning. Recent methods mainly focus on designing powerful local feature ...
IEEE

LSReg-Net: An End-to-End Registration Network for Large-Scale LiDAR Point Cloud in Autonomous Driving

Abstract: Large-scale point cloud registration is a fundamental problem for autonomous driving. To achieve alignment, most existing methods focus on local point cloud features for matching. However, ...
IEEE

Affective Brain–Computer Interfaces (aBCIs): A Tutorial

Abstract: A brain–computer interface (BCI) enables a user to communicate directly with a computer using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the emotional ...
Ars Technica

Claude Code can now take over your computer to complete tasks

Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...
IEEE

DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Global Rigid Point Set Registration in Computer-Assisted Orthopedic Surgery

Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
IEEE

SCSQ-Net: A Shared Kernel Point Convolution Semantic Query Network for Weakly Supervised Classification of Multispectral LiDAR Point Clouds

Abstract: Multispectral LiDAR (MS-LiDAR) point cloud classification holds great potential, but current methods rely heavily on fully supervised learning, requiring costly manual labeling. To address ...
IEEE

Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network

Abstract: Point clouds frequently contain noise and outliers, presenting obstacles for downstream applications. In this work, we introduce a novel denoising method for point clouds. By leveraging the ...
IEEE

Cooperative Operational Planning Model for Distributed Energy Resources With Soft Open Point in Active Distribution Network

Abstract: In this paper, optimal cooperative operational planning of distributed energy resources (DER) in an active distribution network (ADN) with soft open points (SOP) has been investigated. To do ...