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Analyzing, understanding and predicting failure is of paramount importance to achieve effective fault management. While various fault prediction methods have been studied in the past, many of them are not practical for use in real systems. In particular, they fail to address two crucial issues: one is to provide location information (i.e., the components where the failure is expected to occur on)...
We show that movement direction can be decoded with high accuracy using the spatial patterns extracted from multichannel local field potentials (LFPs). Two monkeys were trained to execute center-out movement in 8 directions. During the task the LFP activity was recorded with two 64 channel grids from the pre- and primary motor areas. The LFP signals were decomposed into 4 sub-band components in the...
In this paper, a wavelet-based time-series approach for protein classification problem was presented. A novel feature vector based on the variation of seven physicochemical properties (hydrophobicity, electronic, isoelectric point, polarity, volume, composition, and molecular weight) of amino acids was proposed in this article. The feature vector contains the wavelet variance information of physico-chemical...
Preprocessing is an important step for automatic check processing in Indian scenario where there is huge variation in writing style, especially the way in which Courtesy Amount is terminated and the fractional (Paisa) amount is written. Courtesy Amount Recognition (CAR) and Legal Amount Recognition (LAR) form the core of automated check processing system. For CAR identification, a number of approaches...
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