Name
Abstract | ||
|---|---|---|
In last years, a lot of efforts have been made to deploying the intelligent devices like agent to enjoy their performance. Multi-agent systems (MAS) are simple and strong software suitable for complex and dynamic environment like simulation of economies, societies, biological and others. The aim of this paper is to present a new embedded agent especially for Cardiac Magnetic Resonance Image (MRI) segmentation. With this work, we focused on the first to implement the parallel algorithm of classification using C-means method in embedded systems and on the second to propose a new concept of distributed classification using multi-agent systems based on JADE and Raspberry PI 2 devices. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICM.2015.7438020 | 2015 27th International Conference on Microelectronics (ICM) |
Keywords | DocType | ISSN |
MAS,JADE,Raspberry PI 2,Segmentation,Cardiac RMI | Conference | 2159-1679 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hassna Bensag | 1 | 0 | 0.34 |
| Mohamed Youssfi | 2 | 6 | 8.68 |
| Omar Bouattane | 3 | 11 | 10.43 |