Conference Information

ICCCI 2014: International Conference on Computer and Computational Intelligence

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Submission Date:
2014-08-20
Notification Date:
2014-09-10
Conference Date:
2014-12-06
Location:
Paris, France
Years:
5
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Call For Papers

ICCCI 2014 (International Conference on Computer and Computational Intelligence) is an academic conference held in Paris, France on 2014-12-06. The paper submission deadline is 2014-08-20. Acceptance notifications are sent on 2014-09-10.

2014 5th International Conference on Computer and Computational Intelligence (ICCCI 2014) is the premier forum for the presentation of technological advances and research results in the fields of Computer and Computational Intelligence. ICCCI 2014 will bring together leading engineers and scientists in Computer and Computational Intelligence from around the world. Topics of interest for submission include, but are not limited to: Session 1:Computer Science Intelligent and Bio-inspired Computing Distributed and Parallel Computing Database and Data Mining Cluster, Grid and P2P Computing Mobile Computing and Wireless Communications Scientific and Engineering Computing Embedded and Ubiquitous Computing Advanced Networking and Applications Security, Privacy and Trust Web Services and Internet Computing Dependable, Reliable and Autonomic Computing CSE applications to the following areas, but not limited to: computational fluid dynamics and mechanics material sciences computational chemistry space, weather, climate systems and global changes computational environment and energy systems computational ocean and earth sciences combustion system simulation computational physics bioinformatics and computational biology medical applications transportation systems simulations combinatorial and global optimization problems structural engineering computational electro-magnetic computer graphics and multimedia semiconductor technology and electronic circuits and system design dynamic systems computational finance data mining signal and image processing Session 2: Theory and Practice of Modern Management Ant colony optimization Artificial immune systems Artificial ecology Artificial life Autonomous mental and behaviour development Bioinformatics and bioengineering Classifier systems Coevolution and collective behaviour Cognitive systems and applications Combinatorial and numerical optimization Constraint and uncertainty handling Cultural algorithms Differential evolution Estimation of Distribution Algorithms Evolutionary computation for bioinformatics Evolutionary computation in dynamic and uncertain environments Evolutionary computer vision Evolutionary data mining Evolutionary design Evolutionary games Evolutionary intelligent agents Evolutionary learning systems Evolutionary robotics Evolutionary techniques in economics, finance and marketing Evolvable hardware and software Evolved art and music Evolving neural networks and fuzzy systems Hybrid optimisation algorithms Memetic and hybrid algorithms Multi-objective optimization Molecular and quantum computing Real-world applications Representation and operators elf-adaptation in evolutionary algorithms Swarm Intelligence (e.g., ant colony, particle swarm, differential evolution, cultural algorithms) Theory of evolutionary computation Emerging areas Session 3: Fuzzy Systems Fuzzy logic and fuzzy set theory Fuzzy-neuro-evolutionary -rough hybrids Fuzzy and rough data analysis Fuzzy optimization and design Fuzzy decision making Fuzzy systems modeling and identification Fuzzy mathematics Fuzzy systems architectures and hardware Fuzzy pattern recognition Fuzzy image processing Fuzzy control and systems Fuzzy data mining and forecasting Fuzzy information processing Fuzzy human interface Fuzzy internet and multimedia Fuzzy computing with words Granular computing Real-world applications Emerging areas Session 4: Neural Networks Computational neuroscience Connectionist theory and cognitive science Mathematical modeling of neural systems Neurodynamic analysis Associative memories Neurodynamic optimization and adaptive dynamic programming Embedded neural systems Probabilistic and information-theoretic methods Principal and independent component analysis Hybrid intelligent systems Supervised, unsupervised and reinforcement learning Brain Imaging and neural information processing Brain computer interface Neuroinformatics and bioinformatics Support vector machines and kernel methods Autonomous mental development Data mining Pattern recognition Time series analysis Image and signal processing Robotic and control applications Telecommunications Transportation systems Intrusion detection and fault diagnosis Hardware implementation Real-world applications Emerging areas
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