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While systematic reviews (SRs) are positioned as an essential element of modern evidence-based medical practice, the creation and update of these reviews is resource intensive. In this research, we propose to leverage advanced analytics techniques for automatically classifying articles for inclusion and exclusion for systematic review update. Specifically, we used the soft-margin Support Vector Machine...
Multidimensional sequences are common, and measuring their similarity is a key to any analysis of such data. There is a wealth of similarity measures for sequences in the literature, but most of them are designed for a special type of sequence and later extended to more general types. These extensions are usually ad hoc, and the extended versions may lose the original conceptual interpretation of...
The paper introduces an absolute orientation detection method for spherical motor based on machine vision. The code generation algorithm, image processing algorithm, image matching algorithm and the method of deriving the orientation of the rotor using unit quaternion are presented. The color pattern painted on the surface of the rotor and camera model are simulated in OpenGL .With the machine vision...
A model of fish disease diagnosis was proposed by combining rough sets theory (RST) with classifier fusion. On the basis of the attribute reduction of RST, the remaining condition attributes were used for the inputs of individual classifiers and the decision attributes as the outputs. The application of ordered weighted averaging (OWA) operator as a classifier fusion approach has been adopted to combine...
Local Feature Extraction (LFE) algorithm is an effective feature extraction method developed in recent years. One of the shortcomings of the current LFE algorithm is that it can only process labeled data, and does not work well when the amount of the labeled data is limited. However, it is usually easy to obtain large amount of unlabeled data but only a few labeled data. In this paper, we propose...
We present a new method to estimate and remove residual normal moveout (RNMO) of prestack seismic gather based on the S-transform, which is a time-frequency analysis technique, in this paper. By using the time-frequency decomposition, 1D seismic signal is represented as a 2D signal. In the time-frequency domain, the RNMO is estimated and removed. And then the seismic signal is reconstructed. Applications...
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