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This article presents some approaches of automatic and robust Data Mining which can be used by process and plant engineers.
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The basic ANN approach of automatic well-testing diagnosis employed by Al-Kaabi and Lee (1990), which is the groundwork of many other studies in this regard, is briefly described in the following statements: The pressure derivative curves are firstly sampled for a limited number of data points and normalized between 0 and 1 (or −1 and 1) using different normalization techniques.
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Each of these second-order stratum factors can be measured by means of two or more subtests constructed by means of different approaches to automatic item generation (for an overview: Arendasy & Sommer, 2012, 2013; Irvine & Kyllonen, 2002).
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This paper proposes a novel approach to automatic estimation of attention of students during lectures in the classroom.
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