Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing ...
They might train a machine-learning model to estimate the magnitude of this association, since machine-learning methods are especially good at learning complex relationships. Standard machine-learning ...
Abstract: This paper presents a systematic approach to enhancing ISO 26262, a widely adopted standard for automotive functional safety, by integrating Machine Learning (ML)-specific life cycle phases ...
Few studies examine how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests assist or hinder efforts to prevent illness, hospitalisations, or people dying. Due to weak evidence, we’re ...
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia Background: Sleep apnea is a common sleep disorder associated with high ...
College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback