The proceedings contain 104 papers. The topics discussed include: jamming effect evaluation method based on radar behavior recognition;research on application of an improved deep convolutional neural network in handwr...
The proceedings contain 104 papers. The topics discussed include: jamming effect evaluation method based on radar behavior recognition;research on application of an improved deep convolutional neural network in handwritten character recognition;analysis of application of machinelearning based on bibliometrics in pattern recognition;research on the influencing factors of Chinese medicine cultural identity of international students in Chinese medicine schools;application of SVM model to environmental resource analysis in tourism development;learning recommendation based on hybrid collaborative filtering algorithm;fruit image recognition and classification method based on improved single shot multi-box detector;the construction of a flipped classroom teaching mode of college English based on rainclass and its effectiveness analysis;and research on improved sharpening algorithm based on closed operation and binarization.
Oral cancer is one of the most common malignant tumors in the head and neck, and its occurrence is closely related to many factors. In this work, we focused on classifying oral cancer patients’ biomarkers. We have se...
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In view of the low market share of Chinese liquor in the international market, domestic liquor export strategies are mostly analyzed from the qualitative aspect, while the reasonable quantitative mathematical model is...
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In this paper, two different technologies are adopted to realize the digital campus intelligent chatbot. The robot has three core modules: chat module, campus information module and virtual teaching assistant module. ...
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In order to explore the influencing factors of Chinese medicine cultural identity of international students from Chinese medicine schools. The paper questionnaire survey was conducted among overseas students with acad...
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With the rapid development of artificial intelligence, the labor market is constantly impacted. In order to explore the spatial relationship of AI development in different regions and the impact of technological progr...
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This article to analyze the application of machinelearning in fault diagnosis by using bibliometrics, co-citation network analysis and cluster analysis methods. The analysis found that in the application research of ...
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To solve the sparse matrix problem of learning resource recommendation algorithm based on collaborative filtering, a hybrid recommendation algorithm combining user learning behaviour and rating is proposed. First of a...
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The standard Co-Training algorithm can effectively improve the performance of the classifier by using unlabeled data. In fact, however, it is difficult to meet the requirement of sufficient and redundant views At the ...
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In order to identify the four types of attacks in the KDD99 data set, an anomaly detection model based on supporting vector machines is proposed. The model uses supporting vector machines to train five classifiers and...
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