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Reconstruction of gene regulatory networks or ‘reverse-engineering’ is a process of identifying gene interaction networks from experimental microarray gene expression profile through computation techniques. However, there are some issues and challenges remain in gene regulatory network construction. One of them is the inference complexity due to the high dimensionality of gene expression data. The...
A kernel based handover optimisation techniques has been proven to reduce the number of handovers between indoor femtocell and outdoor macro cell by 65%. By suppressing unnecessary handovers, the techniques improve the network performance by detecting area where spurious handovers occurred. This paper presents the applications of this technique on the outdoor scenario between two macro cells. The...
Feature extraction plays an important role in reducing the computational complexity and increasing the accuracy. Independent Component Analysis (ICA) is an effective feature extraction technique for disclosing hidden factors that underlying mixed samples of random variable measurements. The computation basic of ICA presupposes the mutual statistical independent of the non-Gaussian source signals....
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