The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

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 ...

Class-constrained classification problems arise in scenarios where predictions must satisfy resource limitations. For example, classifying loan applicants to decide who receives funding within a ...

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 ...

Visualizing data's branching connections, TreeMap cultivates insight and understanding, nurturing a greener future.

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

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 ...