Quanta Magazine

Researchers Discover the Optimal Way To Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
IEEE

Reinforcement Guided Genetic Algorithm for Application Mapping in Network-on-Chip Architectures: Towards Transparent and Efficient MPSoC Scheduling

Abstract: In this paper, we present a novel hybrid application mapping framework that integrates Genetic Algorithm (GA) with Reinforcement Learning (RL) to optimize task allocation in 2D ...
SciELO

Effect of application of the thoracoabdominal rebalancing (TAR) method in moderate premature children: randomized and controlled clinical trial

Objective: To analyze the effect of the thoracoabdominal rebalancing (TAR) method on respiratory biomechanics, respiratory discomfort, pain sensation, and physiological parameters in moderate preterm ...
EurekAlert!

In a nasal spray, gold “nanoparticles” deliver a targeted treatment to the brain. A potentially revolutionary approach to mental disorders and neurodegenerative diseases ...

This is the result of work carried out by researchers at the Università Cattolica del Sacro Cuore/Fondazione Policlinico Universitario A. Gemelli IRCCS at Rome in collaboration with the University of ...
IEEE

A Riccati Matrix Equation Solver Design Based Neurodynamics Method and Its Application

Abstract: Riccati matrix equation (RME), a critical nonlinear matrix equation in autonomous driving and deep learning. However, memory-compute separation in traditional solving systems leads to ...
Frontiers

Application of multidimensional gait feature fusion algorithm in gait assessment for patients with knee osteoarthritis

Background: To address the limitation in gait assessment for patients with knee osteoarthritis (KOA) and after total knee arthroplasty (TKA), where it is difficult to simultaneously quantify joint ...