In recent years, analysis and interpretation of video sequences to detect and track objects of
interest had become an active research field in computer vision and image processing …

There is not a specific test to diagnose Alzheimer's disease (AD). Its diagnosis should be
based upon clinical history, neuropsychological and laboratory tests, neuroimaging and …

Presently high density EEG systems are available at affordable cost, with which the data
dimension has gone up considerably. For efficient computation of this high-dimensional …

In this paper, we present an efficient Hierarchical Parallel Genetic Algorithm framework
using Grid computing (GE-HPGA). The framework is developed using standard Grid …

Surrogate-Assisted Memetic Algorithm (SAMA) is a hybrid evolutionary algorithm,
particularly a memetic algorithm that employs surrogate models in the optimization search …

Feature selection is an important step in many pattern recognition systems aiming to
overcome the so-called curse of dimensionality. In this study, an optimized classification …

Quantitative characterisation of carotid atherosclerosis and classification into symptomatic or
asymptomatic is crucial in planning optimal treatment of atheromatous plaque. The computer …

This paper entails a comprehensive study on production of a biosurfactant from
Rhodococcus erythropolis MTCC 2794. Two optimization techniques—(1) artificial neural …

Automated detection of brain tumor location is essential for both medical and analytical
uses. In this paper, we clustered brain MRI images to detect tumor location. To obtain perfect …

We investigated how well repetitive finger tapping movements can be decoded from scalp
electroencephalography (EEG) signals. A linear decoder with memory was used to infer …