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We explore the research resonance concept in the context of the Information Systems (IS) design science research (DSR) literature. Resonance is a concept that complements research rigor and relevance and addresses how researchers can effectively communicate research outcomes to suitable audiences and, thus, achieve practical impact. We operationalize the resonance concept for the IS DSR context and...
In this paper, we present a simple and efficient normalized signed regressor LMS (NSRLMS) algorithm, that can be applied to ECG signal in order to remove various artifacts from them. This algorithm enjoys less computational complexity because of the sign present in the algorithm and good filtering capability because of the normalized term. As a result it is particularly suitable for applications requiring...
The widely adopted total variation (TV) filter is not optimal for MRI images with spatially varying noise levels, not to say those with also artifacts. To better preserve edges and fine structures while sufficiently removing noise and artifacts, we first use local mutual information together with k-means segmentation to automatically locate most of the reliable edges from the noisy input; noise and...
A very important artifact corrupting magnetic resonance images is the RF inhomogeneity. This kind of artifact generates variations of illumination which trouble both direct examination by the doctor and segmentation algorithms. Even if homomorphic filtering approaches have been presented in literature, none of them has developed a measure to determine the cut-off frequency. In this work we present...
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