Trees may look passive, but they’re equipped with complex defense systems honed over millions of years. Many species release toxic compounds, bitter sap, or airborne chemicals to deter insects and ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...

The pedunculate oaks typical of Leipzig's floodplain forest and other German oak forests are struggling to regenerate in the understorey due to a lack of light. One reason for this is the absence of ...

ABSTRACT: 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 ...

ABSTRACT: In order to reduce the risk of non-performing loans, losses, and improve the loan approval efficiency, it is necessary to establish an intelligent loan risk and approval prediction system. A ...

This code is meant to foster an in-depth understanding of the Decision Tree Algorithm used in Machine Learning. No ML algorithms like Scikit-learn, PyTorch or TensorFlow has been used. This is ...

Stylized image of a CLASSIX clustering result overlaid on top of a coronavirus illustration. Credit: University of Manchester, CDC / Alissa Eckert, MSMI; Dan Higgins, MAMS An AI framework aids in ...

Abstract: Data mining in network data public management system refers to the process of automatically extracting useful information from large-scale network data by using certain methods and tools, so ...

The joy of a cut Christmas tree is fleeting. All the festive fun is front-loaded: picking out the perfect specimen, bedazzling its boughs with lights and meaningful ornaments, and gathering around it ...

Tropical forests often harbor hundreds of species of trees in a square mile, but scientists often struggle to understand how such a diversity of species can coexist. In a study published in Science, ...