The 2017 International Conference on Cognitive Informatics and Soft Computing (CISCom 2017) will be the forefront to gather researchers, physicians, scientists, practitioners, engineers, and experts in the field along with companies and organizations leaders to share and exchange their theories and practical experiences/methodologies, new ideas, challenges and applications in all areas of Cognitive Computing and Informatics, Computational Intelligence, Hybrid Intelligent Models and Applications to various engineering disciplines.
Prospective authors are invited to submit high quality paper(s) not exceeding 8 pages written in A4 size.Original manuscripts are enthusiastically encouraged in areas related to Cognitive Computing & Informatics, Computational Intelligence, Hybrid Intelligent Models and Applications in (but not limited to) the following topics:
Cognitive Informatics
Informatics models of the brain
Cognitive processes of the brain
Internal information processing mechanisms
Machine consciousness
Neuroscience foundations of information processing
Denotational mathematics
Knowledge representation
Autonomous machine learning
Neural models of memory
DNA and genome modelling
Brain information processing
Cognitive linguistics
Cognitive complexity and metrics
Bioinformatics
Neural signal modeling
Emotions/motivations/attitudes
Cognitive sensors and networks
Cognitive information fusion
Cognitive Computing
Cognitive computers
Cognitive robotics
Autonomous Computing
Knowledge processors
Cognitive semantics of big data
Cognitive machine learning
Knowledge manipulations
Pattern recognition
Cognitive agent technologies
Cognitive inferences
Computing with words (CWW)
Cognitive decision theories
Concept & semantic algebras
Fuzzy/rough sets/logic
Affective computing
Computational Intelligence
Cognitive computers
Cognitive systems
Cognitive man-machine communication
Cognitive Internet
World-Wide Wisdoms (WWW+)
Mathematical engineering for AI
Cognitive vehicle systems
Semantic computing
Distributed intelligence
Mathematical models of AI
Cognitive signal processing
Cognitive image processing
Artificial neural nets
Genetic computing
MATLAB models of AI
Advanced Computing
Artificial Intelligence and Machine Learning
Computer Architecture and VLSI
Computer Graphics- Simulation and Modeling
Data Management-Exploration and Mining
Digital System and Logic Design
Pattern Recognition and Analysis
Robotics and Machine Vision
Systems and Software Engineering
Computational Intelligence
Signal and Image Processing
Reconfigurable Computing
Biomedical Computing, Bioinformatics
Green Computing; Mobile Computing
Ubiquitous Computing
Cryptography and Applied Mathematics
Hybrid Intelligent Models and Applications
Ant Colony for Neural Network Optimization
Chaos Theory in Genetic Algorithms
Genetic Algorithm for Fuzzy System Optimization
Genetic Algorithms for Hybrid Intelligent Systems Design
Genetic Algorithms for Neural Network Optimization
Genetic Fuzzy Systems
Genetic Neural Systems
Hybrid Evolutionary Algorithms
Hybrid Modular Neural Networks
Hybrid optimization techniques
Neuro-Fuzzy-Genetic Approaches
Nature-inspired Smart Hybrid Systems
Neuro-Fuzzy Models and Applications
Hybrid Intelligent Systems for Pattern Recognition & Data Mining, Statistics and Soft Computing
11月17日
2017
11月18日
2017
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