In today's fast-paced business world, entrepreneurs and real estate investors are often inundated with advice on numerous strategies aimed at boosting revenue, navigating challenges and scaling ...

In order to solve the problem that the speed of feature-based point cloud simplification methods is slow, a point cloud simplification method based on voxel convex hull is proposed in this paper, ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

In order to solve the problem that the speed of feature-based point cloud simplification methods is slow, a fast and feature-retained point cloud simplification method based on voxel convex hull is ...

This program (.exe) is for polygon simplification using its inherent scaling hierarchical levels based on four algorithms which are popular in ArcGIS or open-sourced platforms such as CartAGen and ...

Abstract: Solving optimization problems plays a vital role in ensuring the secure and economic operation of distribution systems. To enhance computational efficiency, this paper proposes a general ...

Abstract: Data exported from distribution GIS has become a challenge to distribution system planning and evaluation for its huge consumption of running time to finish a calculation program. In order ...

This is the codebase for A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos. This is the normal trajectory simplification pipeline. After correcting the ...