Tree species classification using machine learning and deep learning models of single tree point cloud data. The final step involves analyzing and evaluating the classification results.

Experiment in floodplain forest: Using tree mortality to support oak regeneration Date: April 16, 2025 Source: Universität Leipzig Summary: The pedunculate oaks typical of Leipzig's floodplain ...

Query processing over large datasets in an efficient manner is a challenge. It can be very time-consuming to perform range queries on vast data that has several features. This problem is often ...

This project is a C++ implementation of a set using an AVL (Adelson-Velsky and Landis) tree. AVL trees are self-balancing binary search trees, where the difference in heights between the left and ...

This is a C++ implementation of an AVL tree, which is a self-balancing binary search tree. An AVL tree maintains the balance factor of each node, which is the difference between the heights of its ...

However, the AVL tree is much more complicated to implement. Red-black trees are a lot easier to make, and give you comparable (but not quite as good) performance.<P>--sam ...