Gabrielle Horne

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Data fusion is an important tool for improving the performance of a detection system when more than one classifier is available. The reasoning logic of Dempster-Shafer evidence theory for fusion is similar to that of humans. This paper discusses application of a data fusion method which is based on improvements to the Dempster-Shafer theory, to(More)
This paper describes experimental procedure for measuring residual stress on sub-grain scale in steel using focused ion beam (FIB) milling and digital image correlation (DIC) method. A 20×5×3 mm steel sample was used. The sample was compressed uniaxially to 400 MPa. The sample surface was polished down to a grit size of 1 µm and then placed inside the FIB(More)
In this paper, the detection of the boundaries and extraction of the area of left ventricular are proposed. The echocardiographic image is preprocessed to enhance the contrast and smoothness by utilizing Multi Valued Neural Cellular Neural Networks (MVN_CNN) non linear filter. UBN_CNN is applied to the smoothed image to detect the heart boundaries. A non(More)
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