Computational techniques have found significant use in practical applications, especially in image processing. Most of the computing techniques are advantageous but significant drawbacks exist in these approaches. Some computational techniques possess high accuracy but are computationally inefficient. On the other hand, several techniques are computationally efficient but lack accuracy. These drawbacks prevent the application of such computational techniques for real-time analysis.
This special issue will focus on overcoming the drawbacks of these computational approaches. This issue will also place emphasis on hybrid techniques which can achieve high accuracy with quick convergence. This issue will additionally concentrate on the application of such proposed techniques for real-time applications. Thus, the issue will serve as a forum for presenting solutions to existing computational problems.
Suitable topics include but are not limited to:
- Artificial neural networks
- Fuzzy logic
- Evolutionary computation
- Rough sets
- Grid computing
- Cryptography
- Statistical approaches
- Probabilistic methodologies
- Neuro fuzzy techniques
- Hybrid methodologies
- Information mining
- Mathematical modelling
- Computational complexity analysis
- Automation
- Imaging applications
- Any other topic related to advanced computing
Important Dates
Full paper submission: 30 July, 2013
Notification to authors: 30 August, 2013
Final version submission: 25 September, 2013
No comments:
Post a Comment