Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Abstract: As one of the by-products of the municipal solid waste incineration (MSWI) process, dioxin (DXN) is not only difficult to detect but also potential harm to humans and the environment. The ...
This repository contains solutions and explanations for working with Binary Search Trees (BST). It includes algorithmic implementations and step-by-step traces for various tasks. A detailed ...
Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...
Issue will be closed if: You mention more than one algorithm. You can create a separate issue for each algorithm once the current one is completed. You propose an algorithm that is already present or ...