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Extractive document summarization is a fundamental technique for document summarization. Most well-known approaches to extractive document summarization utilize supervised learning where algorithms are trained on collections of "ground truth" summaries built for a relatively large number of documents. In this paper, we propose a novel algorithm, called Triangle Sum for key sentence extraction...
Multistage process fault identification have received much attention recently. In this article, we focus on identifying faults in multistage processes that affect the process mean vector. The new method utilizes Bayesian theory and evaluates the posterior probability of each possible fault scenarios. The scenario associated with the largest posterior probability is identified. Numerical analysis proves...
Manufacturing and service processes today usually involve several process stages and operations. With an emphasis on achieving satisfactory product and service quality, using statistical methods for multistage process surveillance and fault diagnosis has become a necessity. Statistical process control methods have been widely recognized as effective approaches for process monitoring and diagnosis...
Manufacturing and service processes today usually involve several process stages and operations. With an emphasis on achieving satisfactory product and service quality, using statistical methods for multistage process surveillance and fault diagnosis has become a necessity. Statistical process control methods have been widely recognized as effective approaches for process monitoring and diagnosis...
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