This MATLAB project implements a hybrid optimization algorithm that combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The algorithm is designed to optimize a set of parameters ...

Image Segmentation Using Particle Swarm Optimization & K-means Clustering Algorithm. python3 flask-application image-segmentation particle-swarm-optimization dockerization. Updated May 14, 2025; ...

An enhanced particle swarm optimization method for wind resistance in high-rise buildings is introduced, focusing on weight ...

Autonomous Mobility (AM) is the next milestone in the history of the automotive industry. Radar, lidar, cameras, ultrasonic, and other sensor units provide the required information for highly ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

The increasing use in military and communications applications is expected to provide lucrative opportunities for market ...

Nonpoint source pollution, characterized by its diffuse origins and transport mechanisms, remains a central barrier to global ...

Theoretical particle physics is the development of models for describing fundamental particles and their interactions. This includes testing and refining the prevailing theory: the standard model.

Proton beams with giga-electron-volt (GeV) energies—once thought to be achievable only with massive particle accelerators—may soon be generated in compact setups thanks to a breakthrough by ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

Particle colliders work by smashing particles into each other at near-light-speeds, creating interactions from which the most fundamental elements of the universe briefly emerge as high-energy debris.