Abstract Particle Swarm Optimization (PSO) is a computational method in which a group of
particles moves in search space in search of an optimal solution. During this movement …

In this paper we approach the definition of new methodologies for the visualization and the
exploration of social networks and their dynamics. We present a recently introduced …

In Industries robots are programmed to perform specified tasks like and place, packaging,
transporting etc. Every robots need to be programmed individually to accomplish the task …

The popularity effect in a network, ie, the phenomenon in which popular nodes become
more popular, has been explained through the fitness models considering the node …

Online bibliographic databases have become widely available and are important resources
to scientific researchers. These databases store rich information and many evolve into digital …

This paper deals with the use of the real time operating system FreeRTOS, which is
implemented into the 32-bit microcontroller with ARM core on the swarm robotics platform …

This paper deals with sensory equipment for swarm robots. It elaborates on reasons for
choice of sensors based on their principles, ability to operate in swarms and use in a …

This paper presents an online analysis tool called Forcoa. NET, which is built over the DBLP
dataset of publications from the field of computer science. The developed tool is focused on …

An honest peer-review process is a key for producing high quality scientific research.
However, this process depends on two main factors:(1) the expertise of reviewers in the …

Sport social networks concern different types of relationship among athletes or teams in
specific sports. Such networks have recently been used to address problems related to …