AIML-06

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ICGST International Conference on Artificial Intelligence and Machine Learning (AIML-06)

        

13 - 15 June 2006, Sharm El Sheikh, Egypt, aiml06@icgst.com

Venue: Sharm Hilton Dreams

AIML-06 Scope

The International conference on Artificial Intelligence and Machine Learning AIML-06 provides an interdisciplinary forum in which researchers and AI professionals can share their knowledge, experince and report new advances on AI techniques. It is a medium for promoting general and special purpose tools, which are very essential for the evolution of conversional and new subjects of artificial intelligence and machine learning. AIML-06 aims also to manage the industrial and academic cooperation in leading high-standard projects.

The AIML-05 focuses on theoretical and experimental Artificial Intelligence and machine learning techniques, in particular:

  • Knowledge Bases and Environments Adaptive Techniques
  • Object-Oriented Petri Nets
  • Artificial Intelligence for Software Engineering
  • Knowledge-Based System Architectures
  • Software Engineering for
  • AI Petri Nets Model-Based Diagnosis
  • Lisp Programming
  • Real-Time Systems
  • Real-Time and Fault-Tolerant Systems
  • Artificial Intelligence Languages
  • Alarming and Fault Diagnosis Systems
  • Fuzzy Inference Systems
  • Neural Networks and Neuro-Fuzzy Systems
  • Natural Languages and Natural Language Translation
  • Genetic Algorithms
  • Multidimensional Systems
  • Robot and Manipulator Data Processing
  • AI Programming Languages
  • Biologically inspired Systems
  • Expert Systems
  • SVM
  • Modeling and Simulator Building
  • Modeling, Estimation and Prediction
  • Intelligent Automotive Systems
  • Intelligent Industrial Systems
  • Signal and System Modeling
  • Machine Learning Tools
  • Large Scale Systems
  • Soft Computing
  • Linear and Non-Linear Systems
  • Artificial Perceptual Systems
  • Stochastic Systems
  • Production Systems
  • AI Tools for CAD and VLSI
  • Intelligent Aerospace Systems
  • AI Tools for Multimedia
  • Analysis/Design/Testing
  • Object-Oriented Programming for AI.
  • Defence and Military Intelligent Systems
  • AI Tools for Computer Vision and Speech (understanding/interpretation)
  • Temporal and Spectral Analysis
  • AI Parallel Processing Tools (hardware/software)
  • Heuristic and AI Planning Strategies and Tools
  • Eigen-space: PCA, LDA, KPCA
  • Decision tree