The Atlanta Bar Association Litigation Section hosted a May 8, 2026, panel discussion examining how artificial intelligence is beginning to ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...

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 ...

After hitting Iran’s most heavily fortified nuclear installation, President Trump warned of more strikes “if peace does not come quickly.” Iranian ballistic missiles wounded at least 10 in Israel, ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Abstract: This paper presents an automatic machine learning (autoML) algorithm to select a decision tree algorithm which is most suitable for the stated requirements by the user for classification.