Business Wire

Resilient Structures and CenterPoint Energy Announce Strategic Long-Term Supply Agreement to Strengthen Greater Houston Grid

HOUSTON--(BUSINESS WIRE)--Resilient Structures (RS), a leading manufacturer of high-performance composite utility poles, today announced a long-term supply agreement with CenterPoint Energy (NYSE: CNP ...
Morningstar

Resilient Structures and CenterPoint Energy Announce Strategic Long-Term Supply Agreement to Strengthen Greater Houston Grid

Strategic Relationship Supports CenterPoint’s Greater Houston Resiliency Initiative, Creates Over 200 New Jobs Through Local Manufacturing Expansion Resilient Structures (RS), a leading manufacturer ...
IEEE

A Point Cloud-based Multi-scale Fusion Segmentation Model for Surface Pore Structures in 3D Printed Concrete

Abstract: The pore structure of 3D printed concrete (3DPC) significantly affects its appearance and mechanical properties. Therefore, developing an efficient and accurate method to identify these ...
Daily Mail

Origins of Egypt's Great Pyramid upended as new clues point to lost civilization from 20,000 years ago

For more than a century, Egyptologists have dated the Great Pyramid to around 2580 BC, about 4,600 years ago. A controversial new study now claims the monument could be tens of thousands of years ...
CoinDesk

Wall Street's Jefferies sees market structure bill as tokenization inflection point

Jefferies, a Wall Street investment bank, said maturing blockchain infrastructure and incremental regulatory progress are laying the groundwork for a new wave of tokenization by institutions in ...
GitHub

Data Structures and Algorithms in Go

Welcome to Data Structures and Algorithms in Go! 🎉 This project is designed as a dynamic, hands-on resource for learning and practicing data structures and algorithms in the Go programming language.
IEEE

Accelerating Point Cloud Sampling by Parallel Structure Deconstruction

Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
IEEE

DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning

Abstract: Learning 3-D structures from incomplete point clouds with extreme sparsity and random distributions is a challenge since it is difficult to infer topological connectivity and structural ...
IEEE

SADA-3D: Structure-Aware Unsupervised Domain Adaptation Segmentation of 3D Point Clouds

Abstract: Domain adaptive LiDAR point cloud segmentation aims to develop an effective target segmentation model using labeled source data and unlabeled target data. Existing domain adaptation methods ...
IEEE

Local and Global Structure-Guided No-Reference Point Cloud Quality Assessment

Abstract: As a crucial representation of 3D data, a point cloud (PC) can accurately capture the geometry, structure, and color information of objects. However, various quality problems arise owing to ...
IEEE

Structure-Aware Generative Point Cloud Compression for Visual Perception

Abstract: In recent years, there has been a rapid growth in applications that rely on point clouds to represent the 3D world, driven by the increasing demand for immersive and other related scenarios.