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Nowadays, surface defect detection systems for steel strip have replaced traditional artificial inspection systems, and automatic defect detection systems offer good performance when the sample set is large and the model is stable. However, the trained model does work well when a new production line is initiated with different equipment, processes, or detection devices. These variables make just tiny...
In order to reduce the icing accidents of transmission lines, the prediction of icing thickness on transmission lines will be able to effectively guide the anti-icing work of power grid. In this paper, a short-term prediction model based on grey support vector machine for icing thickness of transmission lines is proposed, and the elimination of dirty data and the method of data preprocessing are analyzed...
We propose an autism spectrum disorder (ASD) prediction system based on machine learning techniques. Our work features the novel development and application of machine learning methods over traditional ASD evaluation protocols. Specifically, we are interested in discovering the latent patterns that possibly indicate the symptom of ASD underneath the observations of eye movement. A group of subjects...
Feature models provide an effective way to organize and reuse requirements in a specific domain. A feature model consists of a feature tree and cross-tree constraints. Identifying features and then building a feature tree takes a lot of effort, and many semi-automated approaches have been proposed to help the situation. However, finding cross-tree constraints is often more challenging which still...
In this paper, an explainable prediction model is established to select the optimum features and parameters, then the selected optimum parameters are applied to predicting potential customer churning in one foreign telecom company, discovering that the model not only achieves a desirable prediction but is also explainable through selected features, and that a balanced relation between accuracy and...
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