IEEE

Snowpack Permittivity Retrieval Using Particle Swarm Optimization Algorithm

Abstract: This letter deals with the estimation of the refractive index of snowpack based on particle swarm optimization (PSO) algorithm. By leveraging its ability to handle multidimensional ...
Frontiers

Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection

Introduction: This study presents a modified version of Particle Swarm Optimization (PSO) using an all-optical computational update mechanism. The primary innovation and objective of this ...
IEEE

Damage Detection in Bridges by Hybrid Particle Swarm Optimization–Simulated Annealing (PSO–SA) Approach

Abstract: Structural health monitoring (SHM) is critical for ensuring the safety and longevity of bridges. This research presents a novel hybrid approach for structure damage detection, combining ...
ahajournals.org

Abstract 4340723: Comparative Study of Coronary Artery Disease (CAD) Prediction: Conventional QRISK3 vs. Enhanced Machine Learning Models Combined with Particle Swarm ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
Search Engine Land

What is LLMO? Optimize content for AI & large language models

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...
Frontiers

Particle Swarm optimization of Type-2 fuzzy control for regenerative braking of electric vehicles

School of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou, China Introduction: Regenerative braking control technology has been widely implemented in electric vehicles (EVs) to ...