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    Integrating Mach Number Prediction with Outlier Detection for Wind Tunnel Systems 

    Source: Journal of Aerospace Engineering:;2019:;Volume ( 032 ):;issue: 005
    Author(s): Biao Wang; Zhizhong Mao
    Publisher: American Society of Civil Engineers
    Abstract: Mach number prediction plays a crucial role in wind tunnel systems. Due to the complicated system behavior, many existing predictors cannot obtain the desired level of accuracy. In addition, the presence of outliers in ...
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    Wind Tunnel Mach Number Prediction Based on the Pruned Feature Subsets Ensemble Method 

    Source: Journal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 004
    Author(s): Xiaojun Wang; Ping Yuan; Zhizhong Mao; Wei Rui
    Publisher: American Society of Civil Engineers
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    Improving Identification of Wind Tunnel Systems Using Clustering-Based Ensemble Outlier Detection Model 

    Source: Journal of Aerospace Engineering:;2021:;Volume ( 034 ):;issue: 003:;page 04021012-1
    Author(s): Hongyan Zhao; Ping Yuan; Zhizhong Mao; Biao Wang
    Publisher: ASCE
    Abstract: This paper proposes an outlier ensemble based on the clustering technique to improve the identification accuracy of wind tunnel systems, which are very critical pieces of test equipment in the field of aerospace. The use ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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