The 12th International FLINS Conference August 24-26, 2016 ENSAIT, Roubaix, France http://flins2016.ensait.fr/

Special Session on Computational Intelligence and Applications Computational Intelligence (CI) refers to theoretical aspects and applications able to represent some kind of intelligence similar to those ones present in biological systems. CI is an interdisciplinary area devoted to the development of systems that includes a large set of techniques. In general, the set of techniques includes neural networks, genetic algorithms, fuzzy logic, probabilistic methods and their combinations. The topics of interest of this special session include (but are not limited to): Theoretical advances in Fuzzy Logic, Probabilistic Networks, Neural Networks, Evolutionary Computing, etc. New algorithms development Modeling and development of Applications Hybrid approaches and Meta-heuristics Data Intelligent Analysis and Systems Business Intelligence Mobile computing and mobile system engineering Mobile evolution: system design and system performance Web technologies Bioinformatics Data mining Video and Image Analysis Pattern Recognition Embedded Systems Collaborative Systems Smart Technologies Decision Making Decision Making Systems and Spatial Decision Making Systems Virtual Reality Serious Games Innovative Applications in Engineering, Health Sciences, Bioinformatics and Social Networks Important dates: Full paper submission: February 5th, 2016 Acceptance notification: March 15th, 2016 Contact information: Ronei Marcos de Moraes, Federal University of Paraiba, João Pessoa (Brazil) Email address: [email protected] Liliane dos Santos Machado, Federal University of Paraiba, João Pessoa (Brazil) Email address: [email protected] Regivan Hugo Nunes Santiago, Federal University of Rio Grande do Norte, Natal (Brazil) Email address: [email protected]

Special Session on Computational Intelligence and Applications

Mobile computing and mobile system engineering. Mobile evolution: system design and system performance. Web technologies. Bioinformatics. Data mining.

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