Artificial Intelligence techniques are being used by engineering, academia and industries to solve a wide range of previously tractable and intractable problems. All the techniques are mostly hybrid in nature, which includes artificial neural networks (ANN), fuzzy theory, evolutionary algorithms, etc.
Although most of the techniques are theoretically sound, the applicability of these techniques is not fully explored for practical applications. Many of the computational applications still depend on Non-AI systems which limit their practical usage. Therefore, new artificial intelligence methods are required to handle these issues significantly and holistically. The artificial intelligence methods are generic, flexible, robust, and a versatile framework for solving complex problems for the global problems in engineering and operational research and its applications.
The issue will carry revised and substantially extended versions of selected papers presented at the International Conferences on Telecommunication, Power Analysis and Computing Techniques (ICTPACT2017) but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Artificial neural networks
- Evolutionary computation
- Hybrid optimisation
- Meta heuristic algorithms
- Classical optimisation methods
- Machine learning
- Knowledge based techniques
- Chaos algorithms
- Decision making techniques
- Power systems
- Control systems
- Distributed networks
- Distributed systems
- Image processing and bio medical
- Computer and information system security
Manuscripts due by: 30 July, 2017
Notification to authors: 30 September, 2017
Final versions due by: 30 November, 2017