With the rapid development of network, some novel applications like remote database access, electric commerce, etc. bring forth many new requirements for network loads, network communication efficiency and network sec...
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We propose a new method of traffic flow forecasting based on quantum particle swarm optimization strategy (QPSO) for Internet of Vehicles (IOV). Establish a corresponding model based on the characteristics of the traf...
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We propose a new mobile ad hoc network routing method based on improved GF (greedy forwarding) strategy in this paper. In the greedy forwarding phase, the reliable communication area is calculated, and then the qualit...
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The resource limitation of mobile devices causes the problem that the existing image processing software based on the centralized computing mode had difficulty running in mobile devices. A solution is given in the pap...
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A new kind of neural-based market prediction computing approach for electronic commerce has beenpresented by our research group in this paper. Our purpose is to suggest a successful and efficient prediction method of ...
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Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the serious problems in the spike sorting of mul...
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Botnet is one of the major security threats to Internet. In this paper, botnet communication and attack patterns were introduced, and the discovery method of botnet based on abnormal behavior was studied. For the curr...
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To improve the convergence time of Ant Colony Algorithm, avoid falling in local best and enhance the quality of solution, a novel dynamic parameters ant colony algorithm with particle swarm characteristics is proposed...
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A new clustering classification approach based on fuzzy closeness relationship (FCR) is studied in this paper. As we know, fuzzy clustering classification is one of important and valid methods to knowledge discovery. ...
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A fuzzy clustering is one of important and valid methods to knowledge discovery. One of problems in fuzzy clustering is to determine a certain fuzzy sample classification in given limited sample space. Another is its ...
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