Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Mike Johnson gives update on Jan. 6 plaque Alaska received 7 feet of snow, sinking ...

Abstract: This study presents a novel high-dimensional multi-objective optimization method via adaptive gradient-based subspace sampling for analog circuit sizing. To handle constrained ...

Model-free Deep Reinforcement Learning (DRL) algorithms are widely used in UAV trajectory planning but face challenges such as high sampling complexity, hyperparameters sensitivity, and poor ...

1 College of Robotics, Beijing Union University, Beijing, China 2 College of Applied Science and Technology, Beijing Union University, Beijing, China The precise extraction of laser spot edges plays a ...

Rockstar (above, center), a 14-year-old boy who uses Exo technology for walking assistance, lights up the runway while wearing a custom adaptive outfit designed by Iowa State student Manu Smriti ...

This repository contains the official implementation for Reinforce-Ada, an adaptive sampling framework designed to resolve the ``signal collapse'' problem in Reinforce-style algorithm with group ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...

Food production environments are complex, constantly evolving ecosystems — alive with motion, materials and microbial risk. From Listeria monocytogenes and Salmonella to molds and spoilage yeasts, the ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...