Another portmanteau in the DevOps style, GreenOps can be defined as a set of workflow practices and principles designed to ...
Jaipur: For students preparing for Computer Science Class 12 board exam, teachers said a clear understanding of concepts, ...
Abstract: Ship detection and classification in synthetic aperture radar (SAR) images play a vital role for wide applications. Due to the unique SAR imaging mechanism, ship detection and classification ...
Abstract: Hybrid brain–computer interfaces (BCIs) integrating electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) hold great potential, but effectively fusing their ...
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 ...
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 ...
Abstract: Point clouds can be represented in many forms (views), typically, point-based sets, voxel-based cells or range-based images(i.e., panoramic view). The point-based view is geometrically ...
Abstract: Multispectral LiDAR contributes to the rapid acquisition of 3D spatial and spectral information of land covers, providing more comprehensive features for classification. Despite the ...
Abstract: WTFast’s Gamers Private Network (GPN) technology improves and stabilizes network latency of communication between players and servers in online video games, especially when players are ...
Abstract: Accurate understanding of 3D objects in complex scenes plays essential roles in the fields of intelligent transportation and autonomous driving technology. Recent deep neural networks have ...
Abstract: Point cloud completion aims to reconstruct complete point clouds from partial point clouds, which is widely used in various fields such as autonomous driving and robotics. Most existing ...
Abstract: In this work, we implement a hybrid method to utilize sufficient information by aggregating both fine-grained and globally contextual features for point cloud semantic segmentation with a ...
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