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Real-life behaviors shown by the mobile users typically exhibit plenty noises, making it hard to construct an effective recommendation engine. In this paper, we present a fused model based on the LR algorithm and the GBDT algorithm to recommend vertical industry commodities in a mobile setting. A set of specifically designed methods are proposed to deal with the data preprocessing and feature extraction...
In electronic manufacturing process, detecting characteristics of new-type surface mount components become smaller and smaller. So they are difficult to be located precisely because of image noise. To improve the detecting accuracy, this paper analyzes the difficulties of detecting SMCs and then proposes a new fast registration algorithm based on combination of energy minimization and SURF descriptor...
In Attack Resistant Test, the attack test case must be credible, effective, and controllable. In order to reduce the complexity of the attack test case development, and improve development efficiency, this article extracts DoS attack atoms based on DoS samples and builds a common template for DoS attacks. So that established a new method that recombines attack atoms based on attack template to construct...
The corresponding research was carried out aiming at difficult problem about the redundant robot motion planning. The research was on the omni-directional mobile manipulator (ODMM) motion planning based on the scope of species self-adjust genetic algorithm. In this paper, combining the ODMM characteristics the scope of species self-adjust genetic algorithm was studied, and the speed and efficiency...
In the paper, the mapping relation between static characteristics of electro-hydraulic servo valve and fault pattern is analyzed. The method of multi-parameter fault pattern recognition of electro-hydraulic servo valve based on BP neural networks is introduced, which is researched based on tests. The result shows that the accuracy rate of fault pattern recognition is higher by adopting this method...
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