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    An Anomaly-Based Method for Identifying Signals of Spring and Autumn Low-Temperature Events in the Yangtze River Valley, China 

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 006:;page 1216
    Author(s): Qian, Weihong; Chen, Yun; Jiang, Man; Hu, Qi
    Publisher: American Meteorological Society
    Abstract: bnormally low temperature (LT) events in spring and autumn can cause severe damage to spring and autumn rice production in the mid- to lower Yangtze River valley in China. Advanced predictions of such events can help ...
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    A Data-Driven Wheel Wear Prediction Model for Rail Train Based on LM-OMP-NARXNN 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 002:;page 21012
    Author(s): Deng, Yinqiang;Liu, Long;Li, Mingyang;Jiang, Man;Peng, Bo;Yang, Yue
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The wheel wear situation on the railway vehicles will affect the train running stability and riding comfort. Thus, the prediction model of wheel tread wear is critical for anticipating the wheelset state information and ...
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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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