Artificial Intelligence Research
International Peer-reviewed and Open Access Journal for the Artificial Intelligence Specialists

The content of AIR Vol 1, No 2 is:

• Combining coordination mechanisms to improve performance in multi-robot teams
• Interpretable support vector regression
• Integrated ANN model for earthfill dams seepage analysis: Sattarkhan Dam in Iran
• A Enhanced algorithm for floorplan design using evolutionary technique
• Optimal location and capacity of multi-distributed generation for loss reduction and voltage profile improvement using imperialist competitive algorithm
• Detection of damaged seeds in laboratory evaluation of precision planter using impact acoustics and artificial neural networks
• A Bayesian Network approach to diagnosing the root cause of failure from Trouble Tickets
• The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes
• A hybrid agent based virtual organization for studying knowledge evolution in social systems
• Adaboost and SVM based cybercrime detection and prevention model
• Prediction of weld quality using intelligent decision making tools
• Fuzzy adaptive catfish particle swarm optimization
• Application of Bayesian Network to Stock Price Prediction
• An ABC-Genetic method to solve resource constrained project scheduling problem
• Role of soft computing techniques in predicting stock market direction

The content of AIR Vol. 1, No. 1 is:

• Two-Strategy reinforcement group cooperation based symbiotic evolution for tsk-type fuzzy controller design
• Swine influenza inspired optimization algorithm and its application to multimodal function optimization and noise removal
• Performance analysis of neuro swarm optimization algorithm applied on detecting proportion of components in manhole gas mixture
• CVD and PVD coating process modeling by using artificial neural networks
• Anomalous pattern based clustering of mental tasks with subject independent learning –some preliminary results
• Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting
• Predicting the rates of cross-pollination between GM and non-GM crops using RBFNN with SVM and bootstrap approach
• Parallel Hybrid Enhanced Inherited GA based SCUC in a Distributed Cluster

AIR'S first Editorial Review Board has been established, consisting of more than 200 researchers and experts in Artificial Intelligence areas.

We are in the process of calling for papers for AIR. Your paper will be published online free of charge if your paper is accepted.

You can submit your paper by email directly to: air@sciedu.ca or logging into the website:  http://www.sciedu.ca/journal/index.php/air/about/submissions