The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Tree-based machine learning models help to easier and quicker estimate the friction pile capacity. The outcome is comparable with the actual site measurement. These techniques can be practically-used ...

Researchers employed tree-based machine learning (ML) algorithms, including LightGBM, to predict the formation energy of impurities in 2D materials by integrating chemical and structural features ...

The researchers used the electronic health records of 21,686 adults with asthma from Dec. 1, 1994, to Feb. 28, 2019, at Asan Medical Center to build models using regression and tree-based machine ...

AI, Machine Learning to Help Preserve Tree Populations. Officials at the Missouri Botanical Garden, ... Humans are good at making predictions based on one variable at a time, ...

Decision-tree-based machine-learning methods allow, in theory, for determining the learning path. However, severe constraints exist that make any explanation extremely difficult.