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In recent years, we are faced with large amounts of sporadic unstructured data on the web. With the explosive growth of such data, there is a growing need for effective methods such as clustering to analyze and extract information. Biological data forms an important part of unstructured data on the web. Protein sequence databases are considered as a primary source of biological data. Clustering can...
Fault classification in distance protection of transmission lines, with considering the wide variation in the fault operating conditions, has been very challenging task. In this paper, an approach is presented to classify the fault in transmission line based on Empirical Mode Decomposition (EMD) using instantaneous power for each phase of only one terminal. For decision making stage of proposed methodology,...
Historical manuscripts are considered one of the most imperative human riches and a source of intellectual production. Unfortunately, due to aging effects, multiple noises and deviations are found in the document image. Moreover, challenges for several images of ancient documents show defects of inclinations and curvatures of text lines. These defects arise due to bad storage conditions, or during...
In this study, membrane proteins were classified using the information hidden in their sequences. It was achieved by applying the wavelet analysis to the sequences and consequently extracting several features, each of them revealing a proportion of the information content present in the sequence. The resultant features were made normalized and subsequently fed into a cascaded model developed in order...
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