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In this paper we propose using one of the stochastic methods — Probabilistic Collocation Method (PCM) to find simplified polynomial mapping between two uncertain Air-Traffic System (ATS) parameter data sets. These two parameter sets can be two distinguished collection of measured parameters depicting various aspects of one specific air-traffic system, and the knowledge of parameters distribution is...
Fiber classification, especially shaped fiber classifi-cation, is always an important area in textile analysis. Traditional manual or semi-manual ways to classify different type of fibers will take a lot of time. Support Vector Machine (SVM) is an efficient and robust classifier that will fulfill the requirement on fiber classification. In this paper, a shaped fiber classification method based on...
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