Audit before upgrading: IT leaders advise auditing systems to pinpoint security gaps, performance issues, and management inefficiencies before purchasing new technology. Cloud VoIP momentum: ...
Abstract: Accurate modeling and segmentation of power line point clouds are key to smart-grid inspection automation. However, existing methods struggle with the slender and highly continuous geometry ...
CSA's SDP v3 explores identity-first, Zero Trust connectivity across IT, OT, and IoT with AI-speed security. Learn more about ...
The Sysdig team tell us that its headless model changes what’s possible for cloud security. It delivers full life-cycle CNAPP (cloud-native application protection platform) capabilities into AI coding ...
AUSTIN, Texas, April 30, 2026 (GLOBE NEWSWIRE) -- runZero, the leader in exposure management, today launched new capabilities designed to ...
ABSTRACT: To address the current issues of inaccurate segmentation and the limited applicability of segmentation methods for building facades in point clouds, we propose a facade segmentation ...
Partitioning 3D point clouds using an irregular grid simplifies tree segmentation in digital forests
The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests Digital twin forests are datasets in which every tree in a ...
As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...
Nguyen, A. 3D Point Cloud Segmentation: A Survey. In 2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM); IEEE: Manila, Philippines, 2013; pp 225 ...
Microsoft announced two new Windows 11 recovery features today at the Ignite developer conference, called Cloud Rebuild and Point-in-Time Restore (PITR), that aim to reduce downtime and make it easier ...
Abstract: Point cloud segmentation is an essential and efficient task in high-definition trajectory-level traffic information extraction for roadside LiDAR. State-of-the-art methods use conventional ...
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