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According to the complexity and the uncertainty in selecting cooperative partner of virtual research center (VRC), a novel evaluation model based on support vector machine and fuzzy analytic hierarchy process (SVM-FAHP) was proposed. The partner selection for the Yalong River hydropower development VRC was presented as an example and a comparison with the previous models was performed. It's showed...
This work presents a SVM-based Multiple Classifier System (MCS) for pattern recognition of wheat leaf diseases. The proposed system uses stacked generalization structure to combine the classification decisions obtained from three kinds of support vector machines (SVMs)-based classifiers. And three different feature sets including color features, texture features and shape features are used as training...
Huffman codes replacement algorithm is a new steganographic method by replacing Huffman codes to hide information. The advantages are simple computation, large capacity, good imperceptibility, and so on. However there is no steganalytic method can be used for the new algorithm. A statistical model of the Huffman codes replacement is presented by steganalysising a MP3 algorithm and a steganalysis scheme...
Landslide susceptibility zonation is essential for disaster management and control in mountainous regions. Most landslide susceptibility zonations up to now are pixel-based and somehow are impracticable in landslide hazard management. In this paper, we propose a procedure for slope unit-based landslide susceptibility zonation with a case study of Shenzhen, China. First, the flat terrain is removed...
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