Showing 1 - 20 results of 393 for search '"The Informant!"', query time: 0.08s Refine Results
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    Identify Informative Bands for Hyperspectral Target Detection Using the Third-Order Statistic by Xiurui Geng, Lei Wang, Luyan Ji

    Published 2021-05-01
    “…In addition, experiments on several widely used remote sensing data indicate that the index can also efficiently identify informative bands for a better target detection performance.…”
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    MSPEDTI: Prediction of Drug–Target Interactions via Molecular Structure with Protein Evolutionary Information by Lei Wang, Leon Wong, Zhan-Heng Chen, Jing Hu, Xiao-Fei Sun, Yang Li, Zhu-Hong You

    Published 2022-05-01
    “…The model first fuses protein evolutionary information and drug structure information, then a deep learning convolutional neural network (CNN) to mine its hidden features, and finally accurately predicts the associated DTIs by extreme learning machine (ELM). …”
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    Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis by Jie Wang, Xin Wang, Lei Wang, Yan Peng

    Published 2021-11-01
    “…The contents posted on online health communities (OHCs) are valuable resources to learn about youth's health information needs. ObjectiveIn this study, we concurrently exploited statistical analysis and topic analysis of online health information needs to explore the distribution, impact factors, and topics of interest relevant to Chinese young people. …”
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    Research on Design Pattern Detection Method Based on UML Model with Extended Image Information and Deep Learning by Lei Wang, Tian Song, Hui-Na Song, Shuai Zhang

    Published 2022-08-01
    “…This paper intends to first explore a UML model that extends image information, called colored UML, so as to transform the design pattern detection problem into an image classification problem; on this basis, the positive and negative sample sets and the system to be recognized are all expressed in the form of colored UML models, the convolutional neural network VGGNet is used to train the data set to extract features, and the extracted features are trained by the SVM for binary classification to judge the pattern instances. …”
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