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    Article

    User behavior data analysis and product design optimization algorithm based on deep learning

    In modern society, user behavior data analysis and product design optimization have become one of the key factors for the success of enterprises. Traditional methods are usually based on human experience and i...

    Lijuan Liang, Yun Ke in International Journal on Interactive Desig… (2023)

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    Article

    CEO Foreign Experience and Green Innovation: Evidence from China

    We examine whether and how CEO foreign experience affects firm’s green innovation. Using a sample of Chinese public companies and hand-collected CEO foreign experience data, we document a positive association ...

    **aofeng Quan, Yun Ke, Yuting Qian, Yao Zhang in Journal of Business Ethics (2023)

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    Chapter and Conference Paper

    Study on Health Status Assessment Method of Injector Based on Hierarchical Weighted Permutation Entropy and Hidden Markov Model

    For the features information of common rail injectors degradation process always weak or submerged by strong noise, which leads to the problem of low accuracy of health status evaluation, this paper combines t...

    EnZhe Song, Chang Ren, Yun Ke, Chong Yao in 2023 International Conference on Marine Eq… (2023)

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    Article

    Research on Rolling Bearing Fault Diagnosis Method Based on Improved LMD and CMWPE

    To enhance the precision of rolling bearing fault diagnosis, a new rolling bearing fault diagnosis method based on improved local mean decomposition (LMD), compound multi-scale weighted permutation entropy (CM...

    Enzhe Song, Feng Gao, Chong Yao, Yun Ke in Journal of Failure Analysis and Prevention (2021)

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    Article

    Social Trust and Corporate Misconduct: Evidence from China

    We study whether greater social trust is associated with a lower incidence of corporate misconduct. Both social norm and network theory suggest that social trust can affect managerial behavior and reduce the l...

    Wang Dong, Hongling Han, Yun Ke, Kam C. Chan in Journal of Business Ethics (2018)

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    Article

    A new data normalization method for unsupervised anomaly intrusion detection

    Unsupervised anomaly detection can detect attacks without the need for clean or labeled training data. This paper studies the application of clustering to unsupervised anomaly detection (ACUAD). Data records a...

    Long-zheng Cai, Jian Chen, Yun Ke, Tao Chen in Journal of Zhejiang University SCIENCE C (2010)