American Journal of Intelligent Learning Systems and Applications

American Journal of Intelligent Learning Systems and Applications
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Frequency: Bimonthly
American Journal of Intelligent Learning Systems and Applications
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About This Journal

American Journal of Intelligent Learning Systems and Applications (AJILSA) is an open access, peer-reviewed journal that considers articles on all aspects of AJILSA, the goal of this journal is to provide a platform and global forum for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of AJILSA. This journal targets researchers, scientists, and students who seek to advance the knowledge related to its scope.

All submitted manuscripts must be in English and will be processed to a rigorous and fair peer-review. Accepted papers will immediately publish online. The original papers should include but are not limited to the following subject areas of AJILSA :

  •   Approximate Dynamic Programming
  •   Autonomic Computing
  •   Autonomous Learning Systems
  •   Bio-Inspired Learning Method
  •   Clustering
  •   Cyber-Physical Systems
  •   Evolutionary Computation
  •   Filter Bank
  •   Fuzzy and Rough Set
  •   General Theory on Intelligent Learning Systems
  •   IntelligentApplications
  •   Learning Control Systems
  •   Multi-Agent Learning
  •   Multiple Models Strategy
  •   Neural Networks
  •   Pattern Recognition Based on Learning Techniques • Predictive Control
  •   Recommendation System
  •   Reinforcement Learning
  •   Robotics
  •   Smart Grid Techniques and Applications
  •   Social Network Analysis
  •   Statistical Learning Theory
  •   Supervised Learning
  •   Time-Frequency Representation
  •   Unsupervised Learning
  •   User Behavior Modelling
  •   Wavelet Theory

The journal welcomes both applied and basic Research Articles, Reviews, Letters to the Editor, Meeting Reports, Methodology Articles, Short reports, Notes, Study Protocols and advertisements.

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