INFORMATION FOR AUTHORS
PAPER SUBMISSION

CALL FOR PAPERS
Original unpublished contributions are solicited for presentation at the International Conference on Cognitive Informatics & Soft Computing (CISC-2017). Papers cannot be submitted in parallel to any other conference or journal. All papers shall be tested for similarity/Plagiarism with acceptable limit of 20%.

Original papers are invited from multidisciplinary perspectives on subject areas including, but not limited to, the following:
    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.
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