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A novel wavelet-based feature extraction approach is introduced in this paper for subject recognition utilizing ground reaction force (GRF) measurements. A wavelet-packet (WP) decomposition scheme is firstly proposed to recognize the discriminating frequency subbands and subsequently an efficient feature selection (FS) method is applied on the selected WP(More)
A Boosted Genetic Fuzzy Classifier (BGFC) is presented in this paper for land cover classification from VHR multispectral images. The proposed system is constructed through a two stage process. The first stage incrementally generates a fuzzy rule base, through repeated invocations of an evolutionary rule extracting algorithm. A boosting algorithm is(More)
In authors' previous works, a novel self-organizing neuro-fuzzy multilayered classifier (SONeFMUC) was proposed. SONeFMUC is composed of small-scale interconnected fuzzy neuron classifiers (FNCs) arranged in layers. The structure of the classifier is revealed by means of the well known GMDH algorithm. In addition, the GMDH algorithm inherently implements(More)
§ My research outcome accounts for over 40% of the accomplished requirements § Project management involved collaborating with physicians, patients and other research fellows for data acquisition and software development § Mentored PhD students to develop C++/matlab applications § Adapted the HARP MRI technique in order to calculate velocity fields and(More)
The main objective of the Economic Dispatch (ED) problem is to find optimal allocation of output power among the various generators available to serve the system load. It is necessary to incorporate wind and pumped storage plants in classical economic dispatch problem due to the increase in the use of renewable energy sources. The cost of power generation(More)
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