Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Abstract: Computer network big data analysis systems often face the challenge of high-dimensional data processing, especially in network traffic classification and security incident detection, where ...

Pole Moala is a 6-0, 165 pound safety out of Rancho Santa Margarita, California. He is rated as a four-star recruit and ranked as the No. 4 safety in the 2028 class per 247Sports. As a sophomore in ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

Abstract: This study proposes an optimization method based on decision tree algorithm for automatic classification of surveying and remote sensing image information. To improve classification accuracy ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models. A ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...