Skip to search formSkip to main contentSkip to account menu

An efficient method for segmentation of images based on fractional calculus and natural selection

View via Publisher (opens in a new tab)

Introducing the fractional-order Darwinian PSO

A method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts is proposed and the fractional-order optimization algorithm, denoted as FO-DPSO, is tested using several well-known functions, and the relationship between the fractiona-order velocity and the convergence of the algorithm is observed.
View on Springer (opens in a new tab)

Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization

The so-called Otsu problem is solved for each channel of the multispectral and hyperspectral data and the problem of n-level thresholding is reduced to an optimization problem in order to search for the thresholds that maximize the between-class variance.
View on IEEE (opens in a new tab)

A novel multi-robot exploration approach based on Particle Swarm Optimization algorithms

Experimental results obtained in a simulated environment show that biological and sociological inspiration can be useful to meet the challenges of robotic applications that can be described as optimization problems (e.g. search and rescue).
View on IEEE (opens in a new tab)

Using Network Metrics in Soccer: A Macro-Analysis

It may be concluded that network metrics can be a powerful tool to help coaches understand team’s specific properties and support decision-making to improve the sports training process based on match analysis.
View on PubMed (opens in a new tab)

Integrating Arduino-Based Educational Mobile Robots in ROS

The full integration of compact educational mobile robotic platforms built around an Arduino controller board in the Robot Operating System (ROS) enables the use of several tools for data analysis, easiness of interaction between multiple robots, use of different sensors and teleoperation devices, thereby targeting engineering education.
View on IEEE (opens in a new tab)

A Novel Feature Selection Approach Based on FODPSO and SVM

Experimental results successfully confirm that the proposed feature selection technique works better in terms of classification accuracies and CPU processing time than other studied methods without requiring the number of desired features to be set a priori by users.
View on IEEE (opens in a new tab)

Activity Profiles of Soccer Players During the 2010 World Cup

The tactical positions of the players and their specific tasks influence the activity profile and physical demands during a match.
View on PubMed (opens in a new tab)

The usefulness of small-sided games on soccer training

Abstract The specificity of collective sports training has evolved to adapt according to ecology stimuli inherent to the sport. In this sense, the coaches have adopted exercises based on the game,…

Fractional Order Darwinian Particle Swarm Optimization

This paper presents a method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts and the relationship between the fractional order velocity and the convergence of the algorithm is observed.
View via Publisher (opens in a new tab)
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)