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With the rapid development of detecting technology, the amount and scale of detected traffic data are increasing in a fast speed. Lots of methods have been proposed for traffic data compression, which contributes to saving storage space. This paper employed robust principal component analysis (RPCA), Kronecker product and tensor decomposition into traffic network flow data compression, and compared...
This paper investigates the issue of cooperative spectrum sensing with a crowd of low-end personal spectrum sensors (such as smartphones, tablets, and in-vehicle sensors), where one critical challenge is the uncertainty of the quality of sensing data from crowd sensors that may be unreliable, untrustworthy, or even malicious. Moreover, due to either unexpected equipment failures or malicious behaviors,...
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