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, ...

Abstract: Rapidly-exploring random tree (RRT) has been studied for autonomous parking as it quickly finds an initial path and is easily scalable in complex environments. However, the planning time ...

Abstract: The paper aims to study the luggage loading algorithm to solve the labor-intensive and inefficient problems in the current airport checked baggage stacking process. With the container ...

A C++ project to visualize how two of the most common minimum spanning tree (MST) algorithms work - mainly Kruskal's and Prim's. The application allows the user to randomly generate a tree structure ...

1 Department of Mathematics and Computer Science, Faculty of Sciences, University of Dschang, Dschang, Cameroon. 2 INRIA, Paris, France. Semi-structured documents are increasingly used in the IT ...