Occasionally, medical decisions have to be taken in the absence of evidence-based guidelines. Other sources can be drawn upon to fill in the gaps, including experience and intuition. Authorities or experts, with their knowledge and experience, may provide further input--known as "eminence-based medicine". Due to the Internet and digital media, interactions among physicians now take place at a h...

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In recent years, the Particle Swarm Optimization has rapidly gained increasing popularity and many variants and hybrid approaches have been proposed to improve it. In this paper, motivated by the behavior and the spatial characteristics of the social and cognitive experience of eachparticle in the swarm,wedevelop ahybrid framework that combines theParticle Swarm Optimization and the Differentia...

This paper explores research in progress on Swarm Intelligence related to Procedural Terrain Generation. Our aim is to develop means to provide useful and real-time terrain deformation using Swarm algorithms. We feel this could prove interesting for enhancing the experience of gameplay in some game genres such as Real Time Strategy (RTS), simulation or even platform games.

A new neural network based optimization algorithm is proposed.The presentedmodel is a discrete-time, continuous-stateHopfield neural network and the states of the model are updated synchronously. The proposed algorithm combines the advantages of traditional PSO, chaos andHopfield neural networks: particles learn from their own experience and the experiences of surrounding particles, their searc...

Particle swarm optimisation (PSO) is a stochastic optimisation algorithm based on swarm intelligence. The algorithm applies the concept of social interaction to find optimal solution. Sina Weibo is one of the most popular Chinese microblog platforms. Microblog users participate in network interaction by publishing tweets and retweets. The influences of microblog users are determined by the user...

We present a newly developed Replica Exchange algorithm using q -Gaussian Swarm Quantum Particle Optimization (REX@q-GSQPO) method for solving the problem of finding the global optimum. The basis of the algorithm is to run multiple copies of independent swarms at different values of q parameter. Based on an energy criterion, chosen to satisfy the detailed balance, we are swapping the particle c...

In this work, we take the advantages of the particle swarm optimization method which belongs to the family of swarm intelligence algorithms to find improved solutions for delivering digital video content with enhanced quality of experience to the end users over error-prone multi-hop wireless networks. In video transmission over such wireless networks, many network-based (packet loss, delay, etc...

As the capabilities of mobile phones are increasing and they are able to consume different type of multimedia contents, it is important to provide an efficient content sharing solution for them. Since people usually store their content on their personal computer, we need architecture for content sharing which supports mobiles and personal computers as well. In this paper we propose an innovativ...

As the capabilities of mobile phones are increasing and they are able to consume different type of multimedia contents, it is important to provide an efficient content sharing solution for them. Since people usually store their content on their personal computer, we need an architecture for content sharing which supports mobiles and personal computers as well. In this paper we propose an innova...