Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

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 ...
ag.purdue

3D tree reconstruction algorithm contributes to a new era of urban planning

WEST LAFAYETTE, Ind. — Trees compete for space as they grow. A tree with branches close to a wall will develop differently from one growing on open ground. Now everyone from urban planners and ...
EurekAlert!

3D tree reconstruction algorithm contributes to a new era of urban planning

Using an input image, the Tree-D Fusion creates a 3D tree model that can be used to simulate various stages of development. WEST LAFAYETTE, Ind. — Trees compete for space as they grow. A tree with ...
Science Daily

Helping robots make good decisions in real time

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move. In 2018, Google DeepMind's AlphaZero program taught itself the games of ...
GitHub

Implement Prim's Algorithm to Find Minimum Spanning Tree (MST) Using Greedy Technique

This Java code implements Prim's Algorithm to find the Minimum Spanning Tree (MST) of a given weighted graph represented by a cost matrix. It reads the cost matrix and number of vertices from user ...
GitHub

Graphs 3: MST & Dijkstra

Scenario: Suppose Flipkart has N local distribution centers spread across a large metropolitan city. These centers need to be interconnected for efficient movement of goods. However, building and ...