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Recognition method of CT images based on color, morphology, and texture is inaccurate and unreliable recently. Therefore, a medical image recognition method based on data mining is proposed with a multi‐feature fusion in this paper. First, image acquisition method is determined by analyzing the environment of CT image recognition. Then, acquired CT image is standardized and whitened to reduce redundant...
Big data techniques has been applied to power grid for the evaluation and prediction of grid conditions. However, the raw data quality rarely can meet the requirement of precise data analytics since raw data set usually contains samples with missing data to which the common data mining models are sensitive. Though classic interpolation or neural network methods can been used to fill the gaps of missing...
In this paper, we propose a novel design of quasi-delay-insensitive dual-rail asynchronous adder working at subthreshold region using 0.13 mum standard CMOS technologies. Power Delay Product (PDP) as measure of merit is used for comparison with other recent published subthreshold adders. Low-power consumption, low PDP and high robustness are demonstrated.
This paper presents a novel adaptation mechanism taking student's preferences, knowledge and motivation states into account when it delivers the personalized learning materials to each learner through the customized interface. The adaptation is implemented with the help of a backend data mining engine and the Bayesian network technologies. To show the effectiveness of the proposed mechanism, an e-learning...
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