Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...

As early adopters have discovered, Copilot delivers real transformation only when it becomes an integral part of critical ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

1 Department of Computer Science, College of Informatics, National Chengchi University, Taipei, Taiwan 2 College of Education, National Chengchi University, Taipei, Taiwan Randomization is a standard ...

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...

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 ...

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Microplastics persist as ubiquitous environmental contaminants, and efficient methods ...