10 Hacks Every Smart TV Owner Should Know

It's hard to buy a TV without smart features these days, so here are 10 tips to make sure yours is giving you the best ...
SecurityWeekOpinion

Cyber Insights 2026: Quantum Computing and the Potential Synergy With Advanced AI

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.
IEEE

LSFP-Tracker: An Autonomous Laser Stripe Feature Point Extraction Algorithm Based on Siamese Network for Robotic Welding Seam Tracking

Abstract: Laser vision-based welding seam tracking has become the key technology to realize intelligent robotic welding, and extracting the feature point of welding seam is an essential step. Aiming ...
IEEE

Fine-Grained Spatial–Temporal Gait Recognition Network Based on Millimeter-Wave Radar Point Cloud

Abstract: Radar-based gait recognition has gained wide attention recently for its ability to preserve privacy and adapt to low-light and poor-weather scenarios. Among different forms of input data, a ...
IEEE

Point-Voxel and Bird-Eye-View Representation Aggregation Network for Single Stage 3D Object Detection

Abstract: 3D object detectors based on LiDAR have been extensively used in autonomous and robotic systems. Efficient voxel-based models must downsample their feature space to reduce computation, which ...
IEEE

PCTNet: 3D Point Cloud and Transformer Network for Monocular Depth Estimation

Abstract: Estimating dense depth map from one image is a challenging task for computer vision. Because the same image can correspond to the infinite variety of 3D spaces. Neural networks have ...
IEEE

Range-Aware Attention Network for LiDAR-Based 3D Object Detection With Auxiliary Point Density Level Estimation

Abstract: 3D object detection from LiDAR data for autonomous driving has been making remarkable strides in recent years. Among the state-of-the-art methodologies, encoding point clouds into a bird's ...
IEEE

Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds

Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
IEEE

DT-Net: Point Cloud Completion Network With Neighboring Adaptive Denoiser and Splitting-Based Upsampling Transformer

Abstract: Point cloud completion, which involves inferring missing regions of 3D objects from partial observations, remains a challenging problem in 3D vision and robotics. Existing learning-based ...
IEEE

Model and Data Dual-Driven Double-Point Observation Network for Ultra-Short MI EEG Classification

Abstract: Although deep networks have succeeded in various signal classification tasks, the time sequence samples used to train the deep models are usually required to reach a certain length.
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New to investing? This 1 computer and technology stock could be the perfect starting point

Here at Zacks, we offer our members many different opportunities to take full advantage of the stock market, as well as how to invest in ways that lead to long-term success. One of our most popular ...
IEEE

Graph-Neural-Network-Based WiFi Indoor Localization System With Access Point Selection

Abstract: With the popularity of mobile devices and the increasing demand for indoor localization services, the localization of indoor mobile users is becoming more and more popular. However, many ...