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Being as one of important means of enhancing production efficiency and reducing production cost, intelligent failure detection system is of great significance. However, there are shortcomings in the existing expert system such as single information flow (lack of interaction) between components, denial of dynamic allocation of workloads which defy system guarantee of real-time quality and reliability...
Customer credit scoring is an important concern for numerous domestic and global industries. It is difficult to achieve satisfactory performance by traditional models constructed on the assumption that the training and test data are subject to the same distribution, because the customers usually come from different districts and may be subject to different distributions in reality. This study combines...
Recently, the application of complex-valued neural networks (CVNNs) for real-valued classification has attracted more and more attention. To overcome the limitations of the existing CVNNs, this study extends the real-valued group method of data handling (RGMDH) type neural network to complex domain, and constructs complex-valued GMDH-type neural network (CGMDH). First, it proposes the complex least...
The uncertainties of grid nodes security are main hurdle to make the job scheduling secure, reliable and fault-tolerant. The fixed fault-tolerant strategy in jobs scheduling may utilize excessive resources. In this paper, the job scheduling decides which kinds of fault-tolerance strategy will be applied to each individual job for more reliable computation and shorter makespan. And we discuss the fuzziness...
Organizations face a growing threat of insider attacks. This paper presents a model for detecting insider malicious activities targeted at tampering the contents of files for various purposes. It employs two-dimensional traceability link rule mining to identify intrinsic file dependencies. Traceability links are traditionally used by software practitioners and researchers to uncover the relationships...
Grid scheduling is one of the most crucial issue in a grid environment because it strongly affects the performance of the whole system. Taking into account that the issue of allocating jobs on resources is a combinatorial optimization problem, a NP-complete problem, several heuristics have been proposed to provide good performance. In this paper, the proposed approach considers a stochastic optimization...
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