Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Abstract: Reducing the root-mean-square (RMS) current through dc-link capacitors is critically challenging in parallel dual-inverter-fed drive systems, as dc-link currents are heavily influenced by ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

As businesses turn to ERP solutions for predictive insights, it’s important to keep in mind three key considerations.

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Matthew Breece, assistant professor of marine science at St. Mary’s College of Maryland, has received a subaward exceeding ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

NASA’s CGS releases the MAGE model to improve space weather prediction, providing simulations of solar storms, auroras, and ...

A predictive space weather model developed by APL and partners that is designed to simulate how solar storms affect Earth is ...

Abstract: Model predictive torque control (PTC) is a high-performance control strategy for induction motor (IM) drives. However, its performance is highly dependent on the motor parameters. Besides, ...

A modeling group is proving that age is just a number. It brings together people 55 and older who want to strut their stuff on the runway. Donald Trump reacts to Tennessee special election results ...