IEEE

A Model-Free Approach to Control Barrier Functions Using Funnel Control

Abstract: Control barrier functions (CBFs) are a popular approach to design feedback laws that achieve safety guarantees for nonlinear systems. The CBF-based controller design relies on the ...

How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
IEEE

Learning Nonlinear Activation Functions in RL Through Evolutionary Computation

Abstract: This study explores the development of nonlinear activation functions in reinforcement learning through evolutionary computation. Traditional activation functions like Rectified Linear-Unit ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Malaysia's First Large Language Model based Synthetic Data Intelligence Platform with Agentic function, AxxonAI launched with healthcare partner Sancy Berhad

Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and compliance KUALA LUMPUR, ...