This confirmed that ensemble learning, combined with refined spatial structure mapping, provides a more accurate, generalizable solution for predicting HMCW from easily measured parameters.

The tree structure is one of the most powerful structures for data organization. An efficient learning framework for transforming tree-structured data into vectorial representations is presented.

New Generative AI-powered solution modernizes COBOL apps to Java in months, cutting timelines by 50% and reducing manual effort by 90%.

His work will ultimately give decision-makers the necessary information to preserve one of the world’s most valuable resources: trees. “Trees are perhaps some of the most important organisms on the ...

Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees ...

This study examined the effect of treed floodplains with varying tree densities on channel conveyance capacity and vorticity in a meandering compound channel. Numerical simulations using computational ...

RayViz: Data Structures Visualization Tool Welcome to RayViz – an interactive project built in C++ using the Raylib library that helps visualize fundamental data structures: Singly Linked List, Hash ...

A 3-D tree structure plays an important role in many scientific fields, including forestry and agriculture. For example, terrestrial laser scanning (TLS) can efficiently capture high-precision 3-D ...