Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: HVAC system is one of the largest contributors to building total energy consumption with both high cost and sustainability concerns. HVAC systems are responsible for indoor thermal comfort ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Background: Cardiovascular risk models generally use standard statistical methods that limit their performance for common outcomes and don’t allow for prediction of rare outcomes. Machine learning ...
Introduction: Hypertrophic cardiomyopathy (HCM) is a genetically mediated myocardial disorder with variable clinical expression and reduced functional capacity. Cardiopulmonary exercise testing when ...
Historians have consistently adapted their methodologies to the available technological tools, progressing from manual examination of manuscripts to the use of advanced machine learning-based ...
Abstract: Machine learning (ML) has been used in a wide range of applications. In recent years, the growing complexity of ML models has led to substantial computational demands. Distributed Machine ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback