The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.

1. Call for Papers
IMPORTANT DATES
Submission Deadline: July 31, 2014
Notification Due : August 20, 2014
Final Version Due : August 30, 2014
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open
access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an
international forum for researchers, professlionals, and industrial practitioners on all topics related to artificial intelligence and
machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for
publications.
IJAIML focusing on (but not limited to) the following topics:
AI Planning Strategies and Tools
Ant Colony Optimization
Automatic Control
Bioinformatics
CAD Design & Testing
Computational Theories of Learning
Computer Vision and Speech Understanding
Data Mining
Evolutionary Computation
Fuzzy Inference Systems
Fuzzy Logic
Heuristic
Intelligent System Architectures
Knowledge Representation
Machine Learning Tools
Mechatronics
Multimedia & Cognitive Informatics
Natural Language Processing
Neural Networks
Parallel Processing
Programming Languages
Reasoning and Evolution
Robotics
Signal, Image & Speech Processing
Soft computing
Software & Hardware Architectures
Support Vector Machines
Web Intelligence Applications
Paper Submission
Authors are invited to submit your manuscript by sending an email with attached word file to: ijaiml@yahoo.com or
ijaiml@arpublication.org. Publication fee : free .
http://arpublication.org/jl/jg/aiml.html