The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

This article explores how autonomous science could speed up breakthroughs in medicine & materials, while raising urgent ...

I tried training a classifier, then found a better solution.

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, ...

Lung cancer continues to be a predominant cause of cancer-related mortality globally, representing approximately 25% of all cancer fatalities annually [1]. Notwithstanding advancements in treatment ...

This paper investigates the application of Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) for classifying and detecting skin cancers from dermoscopic images. SVM is applied for ...

While the findings of this study were broad in nature, the most pertinent domains in this study were sleep quality, anxiety, anorexia, magnesium ion concentration, smoking history, place of residence, ...

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...