Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
This paper introduces OMAR: One Model, All Roles, a reinforcement learning framework that enables AI to develop social intelligence through multi-turn, multi-agent conversational self-play. Unlike ...
Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...
Introduction: Esophageal cancer remains a major global health burden and is among the leading causes of cancer-related deaths. Accurate evaluation of tumor regression grade (TRG) after neoadjuvant ...
Students with ADHD face learning challenges in traditional classroom settings that their peers do not. The article, “ADHD Is Punished in Schools. How Teachers Can Flip the Script ” (Oct. 2, 2025), ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results