Calls for papers
International Journal of Computational Systems Engineering
Special Issue on: "Biomedical Signal and Imaging Trends and Artificial Intelligence Developments"
Dr. Vijay Rajaram Rathod, St. Xavier’s Technical Institute, India
Dr. Pankaj Pratap Singh, Central Institute of Technology, Kokrajhar, India
The aim of this special issue is explore the utilisation of medical, ultrasonic and X-ray imaging for pattern recognition, feature extraction and the classification of such signals and images. The key aim of the issue is to target application-oriented research in the field of biomedical signal and Imaging. It is not however limited to the aforementioned images, but will also cover inferred images for other medical applications. In addition, high-resolution satellite images can also be included in the context of extracting information by utilising imaging and AI methods.
Signal and image processing techniques, along with artificial intelligence, need to be researched to aid the development of medical imaging/satellite imaging for feature extraction and classification which provides more detailed diagnosis systems, preoperational knowledge and easier handling of medical and satellite data.Subject Coverage
Suitable topics include, but are not limited to, the following:
- X-ray/ultrasonic/MRI imaging techniques
- Manifold learning
- Deep learning models
- Gram-Schmidt method
- Depth stereo-electroencephalography signals of partial epilepsies
- Meta-heuristic optimisation algorithms
- Machine learning methods
- Cascade neural networks
- Median-cut algorithm
- Bayesian belief networks
- Infrared imaging
- Satellite imaging
- Discrete wavelet transform
- Curvelet transform
- Harmony search (HS) algorithm
- DNA fragment
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 31 October, 2016