Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...
Abstract: This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University ...
Abstract: Discovering clusters remains challenging when dealing with complex data structures, including those with varying densities, arbitrary shapes, weak separability, or the presence of noise. In ...
This repository contains solution code files for the "Data Structure and Algorithm - I Lab" course as provided on the CodeTantra platform by Noida Institute of Engineering and Technology. The files ...
The White House is facing criticism after citing data from food delivery service DoorDash to claim progress in reducing inflation. The report analyzes hundreds of millions of DoorDash transactions to ...
When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...
New data challenge Democrats’ central claim in the ongoing government funding standoff. For nearly three weeks, Democrats have refused to back any funding bill unless it includes an extension of COVID ...
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 ...
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