The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

A look at the Arab world's networking research into intelligent wireless connectivity and intelligent secure networking systems. The past decade has witnessed exponential growth in wireless networks, ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Artificial intelligence (AI) has become a foundational technology across countless industries, but the question of when machine-learning (ML) inventions are patent-eligible remains a nebulous target.

ABSTRACT: Introduction: Nursing is an important link in the healthcare chain. Excessive workload is often associated with a decline in the quality of care provided and a compromise in patient safety.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

This review provides a thorough and organized overview of machine learning (ML) applications in predicting heart disease, covering technological advancements, challenges, and future prospects. As ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Abstract: The recognition of modulation types in received signals is essential for signal detection and demodulation, with broad applications in telecommunications, defense, and wireless ...